Merge branch 'master' of https://github.com/binary-husky/gpt_academic

typo: Fix typos and rename functions across multiple files (#2130 )
* typo: Fix typos and rename functions across multiple files This commit addresses several minor issues: - Corrected spelling of function names (e.g., `update_ui_lastest_msg` to `update_ui_latest_msg`) - Fixed typos in comments and variable names - Corrected capitalization in some strings (e.g., "ArXiv" instead of "Arixv") - Renamed some variables for consistency - Corrected some console-related parameter names (e.g., `console_slience` to `console_silence`) The changes span multiple files across the project, including request LLM bridges, crazy functions, and utility modules. * fix: f-string expression part cannot include a backslash (#2139) * raise error when the uploaded tar contain hard/soft link (#2136) * minor bug fix * fine tune reasoning css * upgrade internet gpt plugin * Update README.md * fix GHSA-gqp5-wm97-qxcv * typo fix * update readme --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> Co-authored-by: binary-husky <qingxu.fu@outlook.com>
2025-03-04 14:16:24 +08:00 · 2025-03-02 02:16:10 +08:00 · 2025-03-02 01:58:45 +08:00 · 2025-02-21 19:51:09 +08:00 · 2025-02-13 00:19:43 +08:00 · 2025-02-12 15:07:39 +08:00
88 changed files with 1262 additions and 477 deletions
--- a/README.md
+++ b/README.md
@@ -1,14 +1,14 @@
 > [!IMPORTANT]
-> `master主分支`最新动态(2025.2.4): 增加deepseek-r1支持；增加字体自定义功能  
-> `master主分支`最新动态(2025.2.2): 三分钟快速接入最强qwen2.5-max[视频](https://www.bilibili.com/video/BV1LeFuerEG4)  
+> `master主分支`最新动态(2025.3.2): 修复大量代码typo / 联网组件支持Jina的api / 增加deepseek-r1支持  
 > `frontier开发分支`最新动态(2024.12.9): 更新对话时间线功能，优化xelatex论文翻译  
 > `wiki文档`最新动态(2024.12.5): 更新ollama接入指南  
 >
+> 2025.2.2: 三分钟快速接入最强qwen2.5-max[视频](https://www.bilibili.com/video/BV1LeFuerEG4)  
+> 2025.2.1: 支持自定义字体  
 > 2024.10.10: 突发停电，紧急恢复了提供[whl包](https://drive.google.com/drive/folders/14kR-3V-lIbvGxri4AHc8TpiA1fqsw7SK?usp=sharing)的文件服务器  
-> 2024.10.8: 版本3.90加入对llama-index的初步支持，版本3.80加入插件二级菜单功能（详见wiki）  
 > 2024.5.1: 加入Doc2x翻译PDF论文的功能，[查看详情](https://github.com/binary-husky/gpt_academic/wiki/Doc2x)  
 > 2024.3.11: 全力支持Qwen、GLM、DeepseekCoder等中文大语言模型！ SoVits语音克隆模块，[查看详情](https://www.bilibili.com/video/BV1Rp421S7tF/) 
-> 2024.1.17: 安装依赖时，请选择`requirements.txt`中**指定的版本**。 安装命令：`pip install -r requirements.txt`。本项目完全开源免费，您可通过订阅[在线服务](https://github.com/binary-husky/gpt_academic/wiki/online)的方式鼓励本项目的发展。
+> 2024.1.17: 安装依赖时，请选择`requirements.txt`中**指定的版本**。 安装命令：`pip install -r requirements.txt`。

 <br>

@@ -129,20 +129,20 @@ Latex论文一键校对 | [插件] 仿Grammarly对Latex文章进行语法、拼

 ```mermaid
 flowchart TD
-    A{"安装方法"} --> W1("I. 🔑直接运行 (Windows, Linux or MacOS)")
-    W1 --> W11["1. Python pip包管理依赖"]
-    W1 --> W12["2. Anaconda包管理依赖（推荐⭐）"]
+    A{"安装方法"} --> W1("I 🔑直接运行 (Windows, Linux or MacOS)")
+    W1 --> W11["1 Python pip包管理依赖"]
+    W1 --> W12["2 Anaconda包管理依赖（推荐⭐）"]

-    A --> W2["II. 🐳使用Docker (Windows, Linux or MacOS)"]
+    A --> W2["II 🐳使用Docker (Windows, Linux or MacOS)"]

-    W2 --> k1["1. 部署项目全部能力的大镜像（推荐⭐）"]
-    W2 --> k2["2. 仅在线模型（GPT, GLM4等）镜像"]
-    W2 --> k3["3. 在线模型 + Latex的大镜像"]
+    W2 --> k1["1 部署项目全部能力的大镜像（推荐⭐）"]
+    W2 --> k2["2 仅在线模型（GPT, GLM4等）镜像"]
+    W2 --> k3["3 在线模型 + Latex的大镜像"]

-    A --> W4["IV. 🚀其他部署方法"]
-    W4 --> C1["1. Windows/MacOS 一键安装运行脚本（推荐⭐）"]
-    W4 --> C2["2. Huggingface, Sealos远程部署"]
-    W4 --> C4["3. ... 其他 ..."]
+    A --> W4["IV 🚀其他部署方法"]
+    W4 --> C1["1 Windows/MacOS 一键安装运行脚本（推荐⭐）"]
+    W4 --> C2["2 Huggingface, Sealos远程部署"]
+    W4 --> C4["3 其他 ..."]
 ```

 ### 安装方法I：直接运行 (Windows, Linux or MacOS)
@@ -428,7 +428,6 @@ timeline LR
 1. `master` 分支: 主分支，稳定版
 2. `frontier` 分支: 开发分支，测试版
 3. 如何[接入其他大模型](request_llms/README.md)
-4. 访问GPT-Academic的[在线服务并支持我们](https://github.com/binary-husky/gpt_academic/wiki/online)

 ### V：参考与学习

--- a/config.py
+++ b/config.py
@@ -81,7 +81,7 @@ API_URL_REDIRECT = {}

 # 多线程函数插件中，默认允许多少路线程同时访问OpenAI。Free trial users的限制是每分钟3次，Pay-as-you-go users的限制是每分钟3500次
 # 一言以蔽之：免费（5刀）用户填3，OpenAI绑了信用卡的用户可以填 16 或者更高。提高限制请查询：https://platform.openai.com/docs/guides/rate-limits/overview
-DEFAULT_WORKER_NUM = 3
+DEFAULT_WORKER_NUM = 8


 # 色彩主题, 可选 ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast"]
@@ -103,6 +103,7 @@ AVAIL_FONTS = [
    "华文中宋(STZhongsong)",  
    "华文新魏(STXinwei)",  
    "华文隶书(STLiti)", 
+    # 备注：以下字体需要网络支持，您可以自定义任意您喜欢的字体，如下所示，需要满足的格式为 "字体昵称(字体英文真名@字体css下载链接)" 
    "思源宋体(Source Han Serif CN VF@https://chinese-fonts-cdn.deno.dev/packages/syst/dist/SourceHanSerifCN/result.css)",
    "月星楷(Moon Stars Kai HW@https://chinese-fonts-cdn.deno.dev/packages/moon-stars-kai/dist/MoonStarsKaiHW-Regular/result.css)",
    "珠圆体(MaokenZhuyuanTi@https://chinese-fonts-cdn.deno.dev/packages/mkzyt/dist/猫啃珠圆体/result.css)",
@@ -343,6 +344,8 @@ NUM_CUSTOM_BASIC_BTN = 4
 DAAS_SERVER_URLS = [ f"https://niuziniu-biligpt{i}.hf.space/stream" for i in range(1,5) ]


+# 在互联网搜索组件中，负责将搜索结果整理成干净的Markdown
+JINA_API_KEY = ""

 """
 --------------- 配置关联关系说明 ---------------
--- a/config_private.py
+++ b/config_private.py
@@ -0,0 +1,444 @@
+"""
+    以下所有配置也都支持利用环境变量覆写，环境变量配置格式见docker-compose.yml。
+    读取优先级：环境变量 > config_private.py > config.py
+    --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- --- ---
+    All the following configurations also support using environment variables to override,
+    and the environment variable configuration format can be seen in docker-compose.yml.
+    Configuration reading priority: environment variable > config_private.py > config.py
+"""
+
+# [step 1-1]>> ( 接入GPT等模型 ) API_KEY = "sk-123456789xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx123456789"。极少数情况下，还需要填写组织（格式如org-123456789abcdefghijklmno的），请向下翻，找 API_ORG 设置项
+API_KEY = "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"    # 可同时填写多个API-KEY，用英文逗号分割，例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey1,fkxxxx-api2dkey2"
+
+# [step 1-2]>> ( 接入通义 qwen-max ) 接入通义千问在线大模型，api-key获取地址 https://dashscope.console.aliyun.com/
+DASHSCOPE_API_KEY = "" # 阿里灵积云API_KEY
+
+# [step 1-3]>> ( 接入 deepseek-reasoner, 即 deepseek-r1 ) 深度求索(DeepSeek) API KEY，默认请求地址为"https://api.deepseek.com/v1/chat/completions"
+DEEPSEEK_API_KEY = "sk-d99b8cc6b7414cc88a5d950a3ff7585e"
+
+# [step 2]>> 改为True应用代理。如果使用本地或无地域限制的大模型时，此处不修改；如果直接在海外服务器部署，此处不修改
+USE_PROXY = True
+if USE_PROXY:
+    proxies = {
+        "http":"socks5h://192.168.8.9:1070",  # 再例如  "http":  "http://127.0.0.1:7890",
+        "https":"socks5h://192.168.8.9:1070",  # 再例如  "https": "http://127.0.0.1:7890",
+    }
+else:
+    proxies = None
+DEFAULT_WORKER_NUM = 256
+
+# [step 3]>> 模型选择是 (注意: LLM_MODEL是默认选中的模型, 它*必须*被包含在AVAIL_LLM_MODELS列表中 )
+LLM_MODEL = "gpt-4-32k" # 可选 ↓↓↓
+AVAIL_LLM_MODELS = ["deepseek-chat", "deepseek-coder", "deepseek-reasoner",
+                    "gpt-4-1106-preview", "gpt-4-turbo-preview", "gpt-4-vision-preview",
+                    "gpt-4o", "gpt-4o-mini", "gpt-4-turbo", "gpt-4-turbo-2024-04-09",
+                    "gpt-3.5-turbo-1106", "gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5",
+                    "gpt-4", "gpt-4-32k", "azure-gpt-4", "glm-4", "glm-4v", "glm-3-turbo",
+                    "gemini-1.5-pro", "chatglm3", "chatglm4",
+                    ]
+
+EMBEDDING_MODEL = "text-embedding-3-small"
+
+# --- --- --- ---
+# P.S. 其他可用的模型还包括
+# AVAIL_LLM_MODELS = [
+#   "glm-4-0520", "glm-4-air", "glm-4-airx", "glm-4-flash",
+#   "qianfan", "deepseekcoder",
+#   "spark", "sparkv2", "sparkv3", "sparkv3.5", "sparkv4",
+#   "qwen-turbo", "qwen-plus", "qwen-local",
+#   "moonshot-v1-128k", "moonshot-v1-32k", "moonshot-v1-8k",
+#   "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-0125", "gpt-4o-2024-05-13"
+#   "claude-3-haiku-20240307","claude-3-sonnet-20240229","claude-3-opus-20240229", "claude-2.1", "claude-instant-1.2",
+#   "moss", "llama2", "chatglm_onnx", "internlm", "jittorllms_pangualpha", "jittorllms_llama",
+#   "deepseek-chat" ,"deepseek-coder",
+#   "gemini-1.5-flash",
+#   "yi-34b-chat-0205","yi-34b-chat-200k","yi-large","yi-medium","yi-spark","yi-large-turbo","yi-large-preview",
+#   "grok-beta",
+# ]
+# --- --- --- ---
+# 此外，您还可以在接入one-api/vllm/ollama/Openroute时，
+# 使用"one-api-*","vllm-*","ollama-*","openrouter-*"前缀直接使用非标准方式接入的模型，例如
+# AVAIL_LLM_MODELS = ["one-api-claude-3-sonnet-20240229(max_token=100000)", "ollama-phi3(max_token=4096)","openrouter-openai/gpt-4o-mini","openrouter-openai/chatgpt-4o-latest"]
+# --- --- --- ---
+
+
+# --------------- 以下配置可以优化体验 ---------------
+
+# 重新URL重新定向，实现更换API_URL的作用（高危设置! 常规情况下不要修改! 通过修改此设置，您将把您的API-KEY和对话隐私完全暴露给您设定的中间人！）
+# 格式: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "在这里填写重定向的api.openai.com的URL"}
+# 举例: API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://reverse-proxy-url/v1/chat/completions", "http://localhost:11434/api/chat": "在这里填写您ollama的URL"}
+API_URL_REDIRECT = {}
+
+
+# 多线程函数插件中，默认允许多少路线程同时访问OpenAI。Free trial users的限制是每分钟3次，Pay-as-you-go users的限制是每分钟3500次
+# 一言以蔽之：免费（5刀）用户填3，OpenAI绑了信用卡的用户可以填 16 或者更高。提高限制请查询：https://platform.openai.com/docs/guides/rate-limits/overview
+DEFAULT_WORKER_NUM = 64
+
+
+# 色彩主题, 可选 ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast"]
+# 更多主题, 请查阅Gradio主题商店: https://huggingface.co/spaces/gradio/theme-gallery 可选 ["Gstaff/Xkcd", "NoCrypt/Miku", ...]
+THEME = "Default"
+AVAIL_THEMES = ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast", "Gstaff/Xkcd", "NoCrypt/Miku"]
+
+FONT = "Theme-Default-Font"
+AVAIL_FONTS = [
+    "默认值(Theme-Default-Font)",
+    "宋体(SimSun)",
+    "黑体(SimHei)",
+    "楷体(KaiTi)",
+    "仿宋(FangSong)",
+    "华文细黑(STHeiti Light)",
+    "华文楷体(STKaiti)",
+    "华文仿宋(STFangsong)",
+    "华文宋体(STSong)",
+    "华文中宋(STZhongsong)",
+    "华文新魏(STXinwei)",
+    "华文隶书(STLiti)",
+    "思源宋体(Source Han Serif CN VF@https://chinese-fonts-cdn.deno.dev/packages/syst/dist/SourceHanSerifCN/result.css)",
+    "月星楷(Moon Stars Kai HW@https://chinese-fonts-cdn.deno.dev/packages/moon-stars-kai/dist/MoonStarsKaiHW-Regular/result.css)",
+    "珠圆体(MaokenZhuyuanTi@https://chinese-fonts-cdn.deno.dev/packages/mkzyt/dist/猫啃珠圆体/result.css)",
+    "平方萌萌哒(PING FANG MENG MNEG DA@https://chinese-fonts-cdn.deno.dev/packages/pfmmd/dist/平方萌萌哒/result.css)",
+    "Helvetica",
+    "ui-sans-serif",
+    "sans-serif",
+    "system-ui"
+]
+
+
+# 默认的系统提示词（system prompt）
+INIT_SYS_PROMPT = "Serve me as a writing and programming assistant."
+
+
+# 对话窗的高度 （仅在LAYOUT="TOP-DOWN"时生效）
+CHATBOT_HEIGHT = 1115
+
+
+# 代码高亮
+CODE_HIGHLIGHT = True
+
+
+# 窗口布局
+LAYOUT = "LEFT-RIGHT"   # "LEFT-RIGHT"（左右布局） # "TOP-DOWN"（上下布局）
+
+
+# 暗色模式 / 亮色模式
+DARK_MODE = True
+
+
+# 发送请求到OpenAI后，等待多久判定为超时
+TIMEOUT_SECONDS = 60
+
+
+# 网页的端口, -1代表随机端口
+WEB_PORT = 19998
+
+# 是否自动打开浏览器页面
+AUTO_OPEN_BROWSER = True
+
+
+# 如果OpenAI不响应（网络卡顿、代理失败、KEY失效），重试的次数限制
+MAX_RETRY = 5
+
+
+# 插件分类默认选项
+DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体']
+
+
+# 定义界面上“询问多个GPT模型”插件应该使用哪些模型，请从AVAIL_LLM_MODELS中选择，并在不同模型之间用`&`间隔，例如"gpt-3.5-turbo&chatglm3&azure-gpt-4"
+MULTI_QUERY_LLM_MODELS = "gpt-3.5-turbo&chatglm3"
+
+
+# 选择本地模型变体（只有当AVAIL_LLM_MODELS包含了对应本地模型时，才会起作用）
+# 如果你选择Qwen系列的模型，那么请在下面的QWEN_MODEL_SELECTION中指定具体的模型
+# 也可以是具体的模型路径
+QWEN_LOCAL_MODEL_SELECTION = "Qwen/Qwen-1_8B-Chat-Int8"
+
+
+# 百度千帆（LLM_MODEL="qianfan"）
+BAIDU_CLOUD_API_KEY = ''
+BAIDU_CLOUD_SECRET_KEY = ''
+BAIDU_CLOUD_QIANFAN_MODEL = 'ERNIE-Bot'    # 可选 "ERNIE-Bot-4"(文心大模型4.0), "ERNIE-Bot"(文心一言), "ERNIE-Bot-turbo", "BLOOMZ-7B", "Llama-2-70B-Chat", "Llama-2-13B-Chat", "Llama-2-7B-Chat", "ERNIE-Speed-128K", "ERNIE-Speed-8K", "ERNIE-Lite-8K"
+
+
+# 如果使用ChatGLM3或ChatGLM4本地模型，请把 LLM_MODEL="chatglm3" 或LLM_MODEL="chatglm4"，并在此处指定模型路径
+CHATGLM_LOCAL_MODEL_PATH = "THUDM/glm-4-9b-chat" # 例如"/home/hmp/ChatGLM3-6B/"
+
+# 如果使用ChatGLM2微调模型，请把 LLM_MODEL="chatglmft"，并在此处指定模型路径
+CHATGLM_PTUNING_CHECKPOINT = "" # 例如"/home/hmp/ChatGLM2-6B/ptuning/output/6b-pt-128-1e-2/checkpoint-100"
+
+
+# 本地LLM模型如ChatGLM的执行方式 CPU/GPU
+LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
+LOCAL_MODEL_QUANT = "FP16" # 默认 "FP16" "INT4" 启用量化INT4版本 "INT8" 启用量化INT8版本
+
+
+# 设置gradio的并行线程数（不需要修改）
+CONCURRENT_COUNT = 100
+
+
+# 是否在提交时自动清空输入框
+AUTO_CLEAR_TXT = False
+
+
+# 加一个live2d装饰
+ADD_WAIFU = False
+
+
+# 设置用户名和密码（不需要修改）（相关功能不稳定，与gradio版本和网络都相关，如果本地使用不建议加这个）
+# [("username", "password"), ("username2", "password2"), ...]
+AUTHENTICATION = [("van", "L807878712"),("林", "L807878712"),("源", "L807878712"),("欣", "L807878712"),("z", "czh123456789")]
+
+
+# 如果需要在二级路径下运行（常规情况下，不要修改!!）
+# （举例 CUSTOM_PATH = "/gpt_academic"，可以让软件运行在 http://ip:port/gpt_academic/ 下。）
+CUSTOM_PATH = "/"
+
+
+# HTTPS 秘钥和证书（不需要修改）
+SSL_KEYFILE = ""
+SSL_CERTFILE = ""
+
+
+# 极少数情况下，openai的官方KEY需要伴随组织编码（格式如org-xxxxxxxxxxxxxxxxxxxxxxxx）使用
+API_ORG = ""
+
+
+# 如果需要使用Slack Claude，使用教程详情见 request_llms/README.md
+SLACK_CLAUDE_BOT_ID = ''
+SLACK_CLAUDE_USER_TOKEN = ''
+
+
+# 如果需要使用AZURE（方法一：单个azure模型部署）详情请见额外文档 docs\use_azure.md
+AZURE_ENDPOINT = "https://你亲手写的api名称.openai.azure.com/"
+AZURE_API_KEY = "填入azure openai api的密钥"    # 建议直接在API_KEY处填写，该选项即将被弃用
+AZURE_ENGINE = "填入你亲手写的部署名"            # 读 docs\use_azure.md
+
+
+# 如果需要使用AZURE（方法二：多个azure模型部署+动态切换）详情请见额外文档 docs\use_azure.md
+AZURE_CFG_ARRAY = {}
+
+
+# 阿里云实时语音识别 配置难度较高
+# 参考 https://github.com/binary-husky/gpt_academic/blob/master/docs/use_audio.md
+ENABLE_AUDIO = False
+ALIYUN_TOKEN=""     # 例如 f37f30e0f9934c34a992f6f64f7eba4f
+ALIYUN_APPKEY=""    # 例如 RoPlZrM88DnAFkZK
+ALIYUN_ACCESSKEY="" # （无需填写）
+ALIYUN_SECRET=""    # （无需填写）
+
+
+# GPT-SOVITS 文本转语音服务的运行地址（将语言模型的生成文本朗读出来）
+TTS_TYPE = "DISABLE" # EDGE_TTS / LOCAL_SOVITS_API / DISABLE
+GPT_SOVITS_URL = ""
+EDGE_TTS_VOICE = "zh-CN-XiaoxiaoNeural"
+
+
+# 接入讯飞星火大模型 https://console.xfyun.cn/services/iat
+XFYUN_APPID = "00000000"
+XFYUN_API_SECRET = "bbbbbbbbbbbbbbbbbbbbbbbbbbbbbbbb"
+XFYUN_API_KEY = "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"
+
+
+# 接入智谱大模型
+ZHIPUAI_API_KEY = ""
+ZHIPUAI_MODEL = "" # 此选项已废弃，不再需要填写
+
+
+# Claude API KEY
+ANTHROPIC_API_KEY = ""
+
+
+# 月之暗面 API KEY
+MOONSHOT_API_KEY = ""
+
+
+# 零一万物(Yi Model) API KEY
+YIMODEL_API_KEY = ""
+
+
+# 紫东太初大模型 https://ai-maas.wair.ac.cn
+TAICHU_API_KEY = ""
+
+# Grok API KEY
+GROK_API_KEY = ""
+
+# Mathpix 拥有执行PDF的OCR功能，但是需要注册账号
+MATHPIX_APPID = ""
+MATHPIX_APPKEY = ""
+
+
+# DOC2X的PDF解析服务，注册账号并获取API KEY: https://doc2x.noedgeai.com/login
+DOC2X_API_KEY = ""
+
+
+# 自定义API KEY格式
+CUSTOM_API_KEY_PATTERN = ""
+
+
+# Google Gemini API-Key
+GEMINI_API_KEY = ''
+
+
+# HUGGINGFACE的TOKEN，下载LLAMA时起作用 https://huggingface.co/docs/hub/security-tokens
+HUGGINGFACE_ACCESS_TOKEN = "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"
+
+
+# GROBID服务器地址（填写多个可以均衡负载），用于高质量地读取PDF文档
+# 获取方法：复制以下空间https://huggingface.co/spaces/qingxu98/grobid，设为public，然后GROBID_URL = "https://(你的hf用户名如qingxu98)-(你的填写的空间名如grobid).hf.space"
+GROBID_URLS = [
+    "https://qingxu98-grobid.hf.space","https://qingxu98-grobid2.hf.space","https://qingxu98-grobid3.hf.space",
+    "https://qingxu98-grobid4.hf.space","https://qingxu98-grobid5.hf.space", "https://qingxu98-grobid6.hf.space",
+    "https://qingxu98-grobid7.hf.space", "https://qingxu98-grobid8.hf.space",
+]
+
+
+# Searxng互联网检索服务（这是一个huggingface空间，请前往huggingface复制该空间，然后把自己新的空间地址填在这里）
+SEARXNG_URLS = [ f"https://kaletianlre-beardvs{i}dd.hf.space/" for i in range(1,5) ]
+
+
+# 是否允许通过自然语言描述修改本页的配置，该功能具有一定的危险性，默认关闭
+ALLOW_RESET_CONFIG = False
+
+
+# 在使用AutoGen插件时，是否使用Docker容器运行代码
+AUTOGEN_USE_DOCKER = False
+
+
+# 临时的上传文件夹位置，请尽量不要修改
+PATH_PRIVATE_UPLOAD = "private_upload"
+
+
+# 日志文件夹的位置，请尽量不要修改
+PATH_LOGGING = "gpt_log"
+
+
+# 存储翻译好的arxiv论文的路径，请尽量不要修改
+ARXIV_CACHE_DIR = "gpt_log/arxiv_cache"
+
+
+# 除了连接OpenAI之外，还有哪些场合允许使用代理，请尽量不要修改
+WHEN_TO_USE_PROXY = ["Connect_OpenAI", "Download_LLM", "Download_Gradio_Theme", "Connect_Grobid",
+                     "Warmup_Modules", "Nougat_Download", "AutoGen", "Connect_OpenAI_Embedding"]
+
+
+# 启用插件热加载
+PLUGIN_HOT_RELOAD = False
+
+
+# 自定义按钮的最大数量限制
+NUM_CUSTOM_BASIC_BTN = 4
+
+
+# 媒体智能体的服务地址（这是一个huggingface空间，请前往huggingface复制该空间，然后把自己新的空间地址填在这里）
+DAAS_SERVER_URLS = [ f"https://niuziniu-biligpt{i}.hf.space/stream" for i in range(1,5) ]
+
+
+
+"""
+--------------- 配置关联关系说明 ---------------
+
+在线大模型配置关联关系示意图
+│
+├── "gpt-3.5-turbo" 等openai模型
+│   ├── API_KEY
+│   ├── CUSTOM_API_KEY_PATTERN（不常用）
+│   ├── API_ORG（不常用）
+│   └── API_URL_REDIRECT（不常用）
+│
+├── "azure-gpt-3.5" 等azure模型（单个azure模型，不需要动态切换）
+│   ├── API_KEY
+│   ├── AZURE_ENDPOINT
+│   ├── AZURE_API_KEY
+│   ├── AZURE_ENGINE
+│   └── API_URL_REDIRECT
+│
+├── "azure-gpt-3.5" 等azure模型（多个azure模型，需要动态切换，高优先级）
+│   └── AZURE_CFG_ARRAY
+│
+├── "spark" 星火认知大模型 spark & sparkv2
+│   ├── XFYUN_APPID
+│   ├── XFYUN_API_SECRET
+│   └── XFYUN_API_KEY
+│
+├── "claude-3-opus-20240229" 等claude模型
+│   └── ANTHROPIC_API_KEY
+│
+├── "stack-claude"
+│   ├── SLACK_CLAUDE_BOT_ID
+│   └── SLACK_CLAUDE_USER_TOKEN
+│
+├── "qianfan" 百度千帆大模型库
+│   ├── BAIDU_CLOUD_QIANFAN_MODEL
+│   ├── BAIDU_CLOUD_API_KEY
+│   └── BAIDU_CLOUD_SECRET_KEY
+│
+├── "glm-4", "glm-3-turbo", "zhipuai" 智谱AI大模型
+│   └── ZHIPUAI_API_KEY
+│
+├── "yi-34b-chat-0205", "yi-34b-chat-200k" 等零一万物(Yi Model)大模型
+│   └── YIMODEL_API_KEY
+│
+├── "qwen-turbo" 等通义千问大模型
+│   └──  DASHSCOPE_API_KEY
+│
+├── "Gemini"
+│   └──  GEMINI_API_KEY
+│
+└── "one-api-...(max_token=...)" 用一种更方便的方式接入one-api多模型管理界面
+    ├── AVAIL_LLM_MODELS
+    ├── API_KEY
+    └── API_URL_REDIRECT
+
+
+本地大模型示意图
+│
+├── "chatglm4"
+├── "chatglm3"
+├── "chatglm"
+├── "chatglm_onnx"
+├── "chatglmft"
+├── "internlm"
+├── "moss"
+├── "jittorllms_pangualpha"
+├── "jittorllms_llama"
+├── "deepseekcoder"
+├── "qwen-local"
+├──  RWKV的支持见Wiki
+└── "llama2"
+
+
+用户图形界面布局依赖关系示意图
+│
+├── CHATBOT_HEIGHT 对话窗的高度
+├── CODE_HIGHLIGHT 代码高亮
+├── LAYOUT 窗口布局
+├── DARK_MODE 暗色模式 / 亮色模式
+├── DEFAULT_FN_GROUPS 插件分类默认选项
+├── THEME 色彩主题
+├── AUTO_CLEAR_TXT 是否在提交时自动清空输入框
+├── ADD_WAIFU 加一个live2d装饰
+└── ALLOW_RESET_CONFIG 是否允许通过自然语言描述修改本页的配置，该功能具有一定的危险性
+
+
+插件在线服务配置依赖关系示意图
+│
+├── 互联网检索
+│   └── SEARXNG_URLS
+│
+├── 语音功能
+│   ├── ENABLE_AUDIO
+│   ├── ALIYUN_TOKEN
+│   ├── ALIYUN_APPKEY
+│   ├── ALIYUN_ACCESSKEY
+│   └── ALIYUN_SECRET
+│
+└── PDF文档精准解析
+    ├── GROBID_URLS
+    ├── MATHPIX_APPID
+    └── MATHPIX_APPKEY
+
+
+"""
+
+
+
--- a/crazy_functional.py
+++ b/crazy_functional.py
@@ -113,7 +113,7 @@ def get_crazy_functions():
            "Group": "学术",
            "Color": "stop",
            "AsButton": True,
-            "Info": "Arixv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695",
+            "Info": "ArXiv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695",
            "Function": HotReload(Latex翻译中文并重新编译PDF),  # 当注册Class后，Function旧接口仅会在“虚空终端”中起作用
            "Class": Arxiv_Localize,    # 新一代插件需要注册Class
        },
@@ -352,7 +352,7 @@ def get_crazy_functions():
            "ArgsReminder": r"如果有必要, 请在此处给出自定义翻译命令, 解决部分词汇翻译不准确的问题。 "
                            r"例如当单词'agent'翻译不准确时, 请尝试把以下指令复制到高级参数区: "
                            r'If the term "agent" is used in this section, it should be translated to "智能体". ',
-            "Info": "Arixv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695",
+            "Info": "ArXiv论文精细翻译 | 输入参数arxiv论文的ID，比如1812.10695",
            "Function": HotReload(Latex翻译中文并重新编译PDF),  # 当注册Class后，Function旧接口仅会在“虚空终端”中起作用
            "Class": Arxiv_Localize,    # 新一代插件需要注册Class
        },
@@ -434,36 +434,6 @@ def get_crazy_functions():
        logger.error(trimmed_format_exc())
        logger.error("Load function plugin failed")

-    # try:
-    #     from crazy_functions.联网的ChatGPT import 连接网络回答问题
-
-    #     function_plugins.update(
-    #         {
-    #             "连接网络回答问题（输入问题后点击该插件，需要访问谷歌）": {
-    #                 "Group": "对话",
-    #                 "Color": "stop",
-    #                 "AsButton": False,  # 加入下拉菜单中
-    #                 # "Info": "连接网络回答问题（需要访问谷歌）| 输入参数是一个问题",
-    #                 "Function": HotReload(连接网络回答问题),
-    #             }
-    #         }
-    #     )
-    #     from crazy_functions.联网的ChatGPT_bing版 import 连接bing搜索回答问题
-
-    #     function_plugins.update(
-    #         {
-    #             "连接网络回答问题（中文Bing版，输入问题后点击该插件）": {
-    #                 "Group": "对话",
-    #                 "Color": "stop",
-    #                 "AsButton": False,  # 加入下拉菜单中
-    #                 "Info": "连接网络回答问题（需要访问中文Bing）| 输入参数是一个问题",
-    #                 "Function": HotReload(连接bing搜索回答问题),
-    #             }
-    #         }
-    #     )
-    # except:
-    #     logger.error(trimmed_format_exc())
-    #     logger.error("Load function plugin failed")

    try:
        from crazy_functions.SourceCode_Analyse import 解析任意code项目
@@ -771,6 +741,9 @@ def get_multiplex_button_functions():
        "常规对话":
            "",

+        "查互联网后回答":
+            "查互联网后回答",
+
        "多模型对话": 
            "询问多个GPT模型", # 映射到上面的 `询问多个GPT模型` 插件

--- a/crazy_functions/Internet_GPT.py
+++ b/crazy_functions/Internet_GPT.py
@@ -7,7 +7,7 @@ from bs4 import BeautifulSoup
 from functools import lru_cache
 from itertools import zip_longest
 from check_proxy import check_proxy
-from toolbox import CatchException, update_ui, get_conf, update_ui_lastest_msg
+from toolbox import CatchException, update_ui, get_conf, update_ui_latest_msg
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
 from request_llms.bridge_all import model_info
 from request_llms.bridge_all import predict_no_ui_long_connection
@@ -49,7 +49,7 @@ def search_optimizer(
    mutable = ["", time.time(), ""]
    llm_kwargs["temperature"] = 0.8
    try:
-        querys_json = predict_no_ui_long_connection(
+        query_json = predict_no_ui_long_connection(
            inputs=query,
            llm_kwargs=llm_kwargs,
            history=[],
@@ -57,31 +57,31 @@ def search_optimizer(
            observe_window=mutable,
        )
    except Exception:
-        querys_json = "1234"
+        query_json = "null"
    #* 尝试解码优化后的搜索结果
-    querys_json = re.sub(r"```json|```", "", querys_json)
+    query_json = re.sub(r"```json|```", "", query_json)
    try:
-        querys = json.loads(querys_json)
+        queries = json.loads(query_json)
    except Exception:
        #* 如果解码失败,降低温度再试一次
        try:
            llm_kwargs["temperature"] = 0.4
-            querys_json = predict_no_ui_long_connection(
+            query_json = predict_no_ui_long_connection(
                inputs=query,
                llm_kwargs=llm_kwargs,
                history=[],
                sys_prompt=sys_prompt,
                observe_window=mutable,
            )
-            querys_json = re.sub(r"```json|```", "", querys_json)
-            querys = json.loads(querys_json)
+            query_json = re.sub(r"```json|```", "", query_json)
+            queries = json.loads(query_json)
        except Exception:
            #* 如果再次失败，直接返回原始问题
-            querys = [query]
+            queries = [query]
    links = []
    success = 0
    Exceptions = ""
-    for q in querys:
+    for q in queries:
        try:
            link = searxng_request(q, proxies, categories, searxng_url, engines=engines)
            if len(link) > 0:
@@ -175,10 +175,17 @@ def scrape_text(url, proxies) -> str:
    Returns:
        str: The scraped text
    """
+    from loguru import logger
    headers = {
        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36',
        'Content-Type': 'text/plain',
    }
+
+    # 首先采用Jina进行文本提取
+    if get_conf("JINA_API_KEY"):
+        try: return jina_scrape_text(url)
+        except: logger.debug("Jina API 请求失败，回到旧方法")
+
    try:
        response = requests.get(url, headers=headers, proxies=proxies, timeout=8)
        if response.encoding == "ISO-8859-1": response.encoding = response.apparent_encoding
@@ -193,21 +200,39 @@ def scrape_text(url, proxies) -> str:
    text = "\n".join(chunk for chunk in chunks if chunk)
    return text

+
+def jina_scrape_text(url) -> str:
+    "jina_39727421c8fa4e4fa9bd698e5211feaaDyGeVFESNrRaepWiLT0wmHYJSh-d"
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36',
+        'Content-Type': 'text/plain',
+        "X-Retain-Images": "none",
+        "Authorization": f'Bearer {get_conf("JINA_API_KEY")}'
+    }
+    response = requests.get("https://r.jina.ai/" + url, headers=headers, proxies=None, timeout=8)
+    if response.status_code != 200:
+        raise ValueError("Jina API 请求失败，开始尝试旧方法！" + response.text)
+    if response.encoding == "ISO-8859-1": response.encoding = response.apparent_encoding
+    result = response.text
+    result = result.replace("\\[", "[").replace("\\]", "]").replace("\\(", "(").replace("\\)", ")")
+    return response.text
+
+
 def internet_search_with_analysis_prompt(prompt, analysis_prompt, llm_kwargs, chatbot):
    from toolbox import get_conf
    proxies = get_conf('proxies')
    categories = 'general'
    searxng_url = None  # 使用默认的searxng_url
    engines = None  # 使用默认的搜索引擎
-    yield from update_ui_lastest_msg(lastmsg=f"检索中: {prompt} ...", chatbot=chatbot, history=[], delay=1)
+    yield from update_ui_latest_msg(lastmsg=f"检索中: {prompt} ...", chatbot=chatbot, history=[], delay=1)
    urls = searxng_request(prompt, proxies, categories, searxng_url, engines=engines)
-    yield from update_ui_lastest_msg(lastmsg=f"依次访问搜索到的网站 ...", chatbot=chatbot, history=[], delay=1)
+    yield from update_ui_latest_msg(lastmsg=f"依次访问搜索到的网站 ...", chatbot=chatbot, history=[], delay=1)
    if len(urls) == 0:
        return None
    max_search_result = 5   # 最多收纳多少个网页的结果
    history = []
    for index, url in enumerate(urls[:max_search_result]):
-        yield from update_ui_lastest_msg(lastmsg=f"依次访问搜索到的网站: {url['link']} ...", chatbot=chatbot, history=[], delay=1)
+        yield from update_ui_latest_msg(lastmsg=f"依次访问搜索到的网站: {url['link']} ...", chatbot=chatbot, history=[], delay=1)
        res = scrape_text(url['link'], proxies)
        prefix = f"第{index}份搜索结果 [源自{url['source'][0]}搜索] （{url['title'][:25]}）："
        history.extend([prefix, res])
@@ -222,7 +247,7 @@ def internet_search_with_analysis_prompt(prompt, analysis_prompt, llm_kwargs, ch
        llm_kwargs=llm_kwargs,
        history=history,
        sys_prompt="请从搜索结果中抽取信息，对最相关的两个搜索结果进行总结，然后回答问题。",
-        console_slience=False,
+        console_silence=False,
    )
    return gpt_say

@@ -246,23 +271,52 @@ def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
        urls = search_optimizer(txt, proxies, optimizer_history, llm_kwargs, optimizer, categories, searxng_url, engines)
    history = []
    if len(urls) == 0:
-        chatbot.append((f"结论：{txt}",
-                        "[Local Message] 受到限制，无法从searxng获取信息！请尝试更换搜索引擎。"))
+        chatbot.append((f"结论：{txt}", "[Local Message] 受到限制，无法从searxng获取信息！请尝试更换搜索引擎。"))
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        return

    # ------------- < 第2步：依次访问网页 > -------------
+    from concurrent.futures import ThreadPoolExecutor
+    from textwrap import dedent
    max_search_result = 5   # 最多收纳多少个网页的结果
    if optimizer == "开启(增强)":
        max_search_result = 8
-    chatbot.append(["联网检索中 ...", None])
+    template = dedent("""
+        <details>
+        <summary>{TITLE}</summary>
+        <div class="search_result">{URL}</div>
+        <div class="search_result">{CONTENT}</div>
+        </details>
+    """)
+
+    buffer = ""
+
+    # 创建线程池
+    with ThreadPoolExecutor(max_workers=5) as executor:
+        # 提交任务到线程池
+        futures = []
        for index, url in enumerate(urls[:max_search_result]):
-        res = scrape_text(url['link'], proxies)
-        prefix = f"第{index}份搜索结果 [源自{url['source'][0]}搜索] （{url['title'][:25]}）："
+            future = executor.submit(scrape_text, url['link'], proxies)
+            futures.append((index, future, url))
+
+        # 处理完成的任务
+        for index, future, url in futures:
+            # 开始
+            prefix = f"正在加载 第{index+1}份搜索结果 [源自{url['source'][0]}搜索] （{url['title'][:25]}）："
+            string_structure = template.format(TITLE=prefix, URL=url['link'], CONTENT="正在加载，请稍后 ......")
+            yield from update_ui_latest_msg(lastmsg=(buffer + string_structure), chatbot=chatbot, history=history, delay=0.1)  # 刷新界面
+
+            # 获取结果
+            res = future.result()
+
+            # 显示结果
+            prefix = f"第{index+1}份搜索结果 [源自{url['source'][0]}搜索] （{url['title'][:25]}）："
+            string_structure = template.format(TITLE=prefix, URL=url['link'], CONTENT=res[:1000] + "......")
+            buffer += string_structure
+
+            # 更新历史
            history.extend([prefix, res])
-        res_squeeze = res.replace('\n', '...')
-        chatbot[-1] = [prefix + "\n\n" + res_squeeze[:500] + "......", None]
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+            yield from update_ui_latest_msg(lastmsg=buffer, chatbot=chatbot, history=history, delay=0.1)  # 刷新界面

    # ------------- < 第3步：ChatGPT综合 > -------------
    if (optimizer != "开启(增强)"):
--- a/crazy_functions/Internet_GPT_Wrap.py
+++ b/crazy_functions/Internet_GPT_Wrap.py
@@ -38,11 +38,12 @@ class NetworkGPT_Wrap(GptAcademicPluginTemplate):
        }
        return gui_definition

-    def execute(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
+    def execute(txt, llm_kwargs, plugin_kwargs:dict, chatbot, history, system_prompt, user_request):
        """
        执行插件
        """
-        if plugin_kwargs["categories"] == "网页": plugin_kwargs["categories"] = "general"
-        if plugin_kwargs["categories"] == "学术论文": plugin_kwargs["categories"] = "science"
+        if plugin_kwargs.get("categories", None) == "网页": plugin_kwargs["categories"] = "general"
+        elif plugin_kwargs.get("categories", None) == "学术论文": plugin_kwargs["categories"] = "science"
+        else: plugin_kwargs["categories"] = "general"
        yield from 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)

--- a/crazy_functions/Latex_Function.py
+++ b/crazy_functions/Latex_Function.py
@@ -1,5 +1,5 @@
 from toolbox import update_ui, trimmed_format_exc, get_conf, get_log_folder, promote_file_to_downloadzone, check_repeat_upload, map_file_to_sha256
-from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip_result, gen_time_str
+from toolbox import CatchException, report_exception, update_ui_latest_msg, zip_result, gen_time_str
 from functools import partial
 from loguru import logger

@@ -41,7 +41,7 @@ def switch_prompt(pfg, mode, more_requirement):
    return inputs_array, sys_prompt_array


-def desend_to_extracted_folder_if_exist(project_folder):
+def descend_to_extracted_folder_if_exist(project_folder):
    """
    Descend into the extracted folder if it exists, otherwise return the original folder.

@@ -130,7 +130,7 @@ def arxiv_download(chatbot, history, txt, allow_cache=True):

    if not txt.startswith('https://arxiv.org/abs/'):
        msg = f"解析arxiv网址失败, 期望格式例如: https://arxiv.org/abs/1707.06690。实际得到格式: {url_}。"
-        yield from update_ui_lastest_msg(msg, chatbot=chatbot, history=history)  # 刷新界面
+        yield from update_ui_latest_msg(msg, chatbot=chatbot, history=history)  # 刷新界面
        return msg, None
    # <-------------- set format ------------->
    arxiv_id = url_.split('/abs/')[-1]
@@ -156,16 +156,16 @@ def arxiv_download(chatbot, history, txt, allow_cache=True):
        return False

    if os.path.exists(dst) and allow_cache:
-        yield from update_ui_lastest_msg(f"调用缓存 {arxiv_id}", chatbot=chatbot, history=history)  # 刷新界面
+        yield from update_ui_latest_msg(f"调用缓存 {arxiv_id}", chatbot=chatbot, history=history)  # 刷新界面
        success = True
    else:
-        yield from update_ui_lastest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history)  # 刷新界面
+        yield from update_ui_latest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history)  # 刷新界面
        success = fix_url_and_download()
-        yield from update_ui_lastest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history)  # 刷新界面
+        yield from update_ui_latest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history)  # 刷新界面


    if not success:
-        yield from update_ui_lastest_msg(f"下载失败 {arxiv_id}", chatbot=chatbot, history=history)
+        yield from update_ui_latest_msg(f"下载失败 {arxiv_id}", chatbot=chatbot, history=history)
        raise tarfile.ReadError(f"论文下载失败 {arxiv_id}")

    # <-------------- extract file ------------->
@@ -288,7 +288,7 @@ def Latex英文纠错加PDF对比(txt, llm_kwargs, plugin_kwargs, chatbot, histo
        return

    # <-------------- if is a zip/tar file ------------->
-    project_folder = desend_to_extracted_folder_if_exist(project_folder)
+    project_folder = descend_to_extracted_folder_if_exist(project_folder)

    # <-------------- move latex project away from temp folder ------------->
    from shared_utils.fastapi_server import validate_path_safety
@@ -365,7 +365,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
    try:
        txt, arxiv_id = yield from arxiv_download(chatbot, history, txt, allow_cache)
    except tarfile.ReadError as e:
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            "无法自动下载该论文的Latex源码，请前往arxiv打开此论文下载页面，点other Formats，然后download source手动下载latex源码包。接下来调用本地Latex翻译插件即可。",
            chatbot=chatbot, history=history)
        return
@@ -404,7 +404,7 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
        return

    # <-------------- if is a zip/tar file ------------->
-    project_folder = desend_to_extracted_folder_if_exist(project_folder)
+    project_folder = descend_to_extracted_folder_if_exist(project_folder)

    # <-------------- move latex project away from temp folder ------------->
    from shared_utils.fastapi_server import validate_path_safety
@@ -518,7 +518,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h
    # repeat, project_folder = check_repeat_upload(file_manifest[0], hash_tag)

    # if repeat:
-    #     yield from update_ui_lastest_msg(f"发现重复上传，请查收结果（压缩包）...", chatbot=chatbot, history=history)
+    #     yield from update_ui_latest_msg(f"发现重复上传，请查收结果（压缩包）...", chatbot=chatbot, history=history)
    #     try:
    #         translate_pdf = [f for f in glob.glob(f'{project_folder}/**/merge_translate_zh.pdf', recursive=True)][0]
    #         promote_file_to_downloadzone(translate_pdf, rename_file=None, chatbot=chatbot)
@@ -531,7 +531,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h
    #         report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"发现重复上传，但是无法找到相关文件")
    #         yield from update_ui(chatbot=chatbot, history=history)
    # else:
-    #     yield from update_ui_lastest_msg(f"未发现重复上传", chatbot=chatbot, history=history)
+    #     yield from update_ui_latest_msg(f"未发现重复上传", chatbot=chatbot, history=history)

    # <-------------- convert pdf into tex ------------->
    chatbot.append([f"解析项目: {txt}", "正在将PDF转换为tex项目，请耐心等待..."])
@@ -543,7 +543,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h
        return False

    # <-------------- translate latex file into Chinese ------------->
-    yield from update_ui_lastest_msg("正在tex项目将翻译为中文...", chatbot=chatbot, history=history)
+    yield from update_ui_latest_msg("正在tex项目将翻译为中文...", chatbot=chatbot, history=history)
    file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)]
    if len(file_manifest) == 0:
        report_exception(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何.tex文件: {txt}")
@@ -551,7 +551,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h
        return

    # <-------------- if is a zip/tar file ------------->
-    project_folder = desend_to_extracted_folder_if_exist(project_folder)
+    project_folder = descend_to_extracted_folder_if_exist(project_folder)

    # <-------------- move latex project away from temp folder ------------->
    from shared_utils.fastapi_server import validate_path_safety
@@ -571,7 +571,7 @@ def PDF翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, h
                                    switch_prompt=_switch_prompt_)

    # <-------------- compile PDF ------------->
-    yield from update_ui_lastest_msg("正在将翻译好的项目tex项目编译为PDF...", chatbot=chatbot, history=history)
+    yield from update_ui_latest_msg("正在将翻译好的项目tex项目编译为PDF...", chatbot=chatbot, history=history)
    success = yield from 编译Latex(chatbot, history, main_file_original='merge',
                                main_file_modified='merge_translate_zh', mode='translate_zh',
                                work_folder_original=project_folder, work_folder_modified=project_folder,
--- a/crazy_functions/PDF_Translate.py
+++ b/crazy_functions/PDF_Translate.py
@@ -1,5 +1,5 @@
 from toolbox import CatchException, check_packages, get_conf
-from toolbox import update_ui, update_ui_lastest_msg, disable_auto_promotion
+from toolbox import update_ui, update_ui_latest_msg, disable_auto_promotion
 from toolbox import trimmed_format_exc_markdown
 from crazy_functions.crazy_utils import get_files_from_everything
 from crazy_functions.pdf_fns.parse_pdf import get_avail_grobid_url
@@ -57,9 +57,9 @@ def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
            yield from 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url)
            return

-    if method == "ClASSIC":
+    if method == "Classic":
        # ------- 第三种方法，早期代码，效果不理想 -------
-        yield from update_ui_lastest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3)
+        yield from update_ui_latest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3)
        yield from 解析PDF_简单拆解(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
        return

@@ -77,7 +77,7 @@ def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
        if grobid_url is not None:
            yield from 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url)
            return
-        yield from update_ui_lastest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3)
+        yield from update_ui_latest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3)
        yield from 解析PDF_简单拆解(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
        return

--- a/crazy_functions/PDF_Translate_Wrap.py
+++ b/crazy_functions/PDF_Translate_Wrap.py
@@ -19,7 +19,7 @@ class PDF_Tran(GptAcademicPluginTemplate):
            "additional_prompt":
                ArgProperty(title="额外提示词", description="例如：对专有名词、翻译语气等方面的要求", default_value="", type="string").model_dump_json(), # 高级参数输入区，自动同步
            "pdf_parse_method":
-                ArgProperty(title="PDF解析方法", options=["DOC2X", "GROBID", "ClASSIC"], description="无", default_value="GROBID", type="dropdown").model_dump_json(),
+                ArgProperty(title="PDF解析方法", options=["DOC2X", "GROBID", "Classic"], description="无", default_value="GROBID", type="dropdown").model_dump_json(),
        }
        return gui_definition

--- a/crazy_functions/Rag_Interface.py
+++ b/crazy_functions/Rag_Interface.py
@@ -4,7 +4,7 @@ from typing import List
 from shared_utils.fastapi_server import validate_path_safety

 from toolbox import report_exception
-from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg
+from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_latest_msg
 from shared_utils.fastapi_server import validate_path_safety
 from crazy_functions.crazy_utils import input_clipping
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
@@ -92,7 +92,7 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u
        chatbot.append([txt, f'正在清空 ({current_context}) ...'])
        yield from update_ui(chatbot=chatbot, history=history)  # 刷新界面
        rag_worker.purge_vector_store()
-        yield from update_ui_lastest_msg('已清空', chatbot, history, delay=0)  # 刷新界面
+        yield from update_ui_latest_msg('已清空', chatbot, history, delay=0)  # 刷新界面
        return

    # 3. Normal Q&A processing
@@ -109,10 +109,10 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u

    # 5. If input is clipped, add input to vector store before retrieve
    if input_is_clipped_flag:
-        yield from update_ui_lastest_msg('检测到长输入, 正在向量化 ...', chatbot, history, delay=0)  # 刷新界面
+        yield from update_ui_latest_msg('检测到长输入, 正在向量化 ...', chatbot, history, delay=0)  # 刷新界面
        # Save input to vector store
        rag_worker.add_text_to_vector_store(txt_origin)
-        yield from update_ui_lastest_msg('向量化完成 ...', chatbot, history, delay=0)  # 刷新界面
+        yield from update_ui_latest_msg('向量化完成 ...', chatbot, history, delay=0)  # 刷新界面

        if len(txt_origin) > REMEMBER_PREVIEW:
            HALF = REMEMBER_PREVIEW // 2
@@ -142,7 +142,7 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u
    )

    # 8. Remember Q&A
-    yield from update_ui_lastest_msg(
+    yield from update_ui_latest_msg(
        model_say + '</br></br>' + f'对话记忆中, 请稍等 ({current_context}) ...',
        chatbot, history, delay=0.5
    )
@@ -150,4 +150,4 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u
    history.extend([i_say, model_say])

    # 9. Final UI Update
-    yield from update_ui_lastest_msg(model_say, chatbot, history, delay=0, msg=tip)
+    yield from update_ui_latest_msg(model_say, chatbot, history, delay=0, msg=tip)
--- a/crazy_functions/Social_Helper.py
+++ b/crazy_functions/Social_Helper.py
@@ -1,5 +1,5 @@
 import pickle, os, random
-from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg
+from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_latest_msg
 from crazy_functions.crazy_utils import input_clipping
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
 from request_llms.bridge_all import predict_no_ui_long_connection
@@ -9,7 +9,7 @@ from loguru import logger
 from typing import List


-SOCIAL_NETWOK_WORKER_REGISTER = {}
+SOCIAL_NETWORK_WORKER_REGISTER = {}

 class SocialNetwork():
    def __init__(self):
@@ -78,7 +78,7 @@ class SocialNetworkWorker(SaveAndLoad):
            for f in friend.friends_list: 
                self.add_friend(f)
            msg = f"成功添加{len(friend.friends_list)}个联系人: {str(friend.friends_list)}"
-            yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=0)
+            yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=0)


    def run(self, txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
@@ -104,12 +104,12 @@ class SocialNetworkWorker(SaveAndLoad):
        }

        try:
-            Explaination = '\n'.join([f'{k}: {v["explain_to_llm"]}' for k, v in self.tools_to_select.items()])
+            Explanation = '\n'.join([f'{k}: {v["explain_to_llm"]}' for k, v in self.tools_to_select.items()])
            class UserSociaIntention(BaseModel):
                intention_type: str = Field(
                    description=
                        f"The type of user intention. You must choose from {self.tools_to_select.keys()}.\n\n" 
-                        f"Explaination:\n{Explaination}", 
+                        f"Explanation:\n{Explanation}", 
                    default="SocialAdvice"
                )
            pydantic_cls_instance, err_msg = select_tool(
@@ -118,7 +118,7 @@ class SocialNetworkWorker(SaveAndLoad):
                pydantic_cls=UserSociaIntention
            )
        except Exception as e:
-            yield from update_ui_lastest_msg(
+            yield from update_ui_latest_msg(
                lastmsg=f"无法理解用户意图 {err_msg}", 
                chatbot=chatbot, 
                history=history, 
@@ -150,10 +150,10 @@ def I人助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt,
    # 1. we retrieve worker from global context
    user_name = chatbot.get_user()
    checkpoint_dir=get_log_folder(user_name, plugin_name='experimental_rag')
-    if user_name in SOCIAL_NETWOK_WORKER_REGISTER:
-        social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name]
+    if user_name in SOCIAL_NETWORK_WORKER_REGISTER:
+        social_network_worker = SOCIAL_NETWORK_WORKER_REGISTER[user_name]
    else:
-        social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name] = SocialNetworkWorker(
+        social_network_worker = SOCIAL_NETWORK_WORKER_REGISTER[user_name] = SocialNetworkWorker(
            user_name, 
            llm_kwargs, 
            checkpoint_dir=checkpoint_dir, 
--- a/crazy_functions/SourceCode_Comment.py
+++ b/crazy_functions/SourceCode_Comment.py
@@ -1,5 +1,5 @@
 import os, copy, time
-from toolbox import CatchException, report_exception, update_ui, zip_result, promote_file_to_downloadzone, update_ui_lastest_msg, get_conf, generate_file_link
+from toolbox import CatchException, report_exception, update_ui, zip_result, promote_file_to_downloadzone, update_ui_latest_msg, get_conf, generate_file_link
 from shared_utils.fastapi_server import validate_path_safety
 from crazy_functions.crazy_utils import input_clipping
 from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
@@ -117,7 +117,7 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
                logger.error(f"文件: {fp} 的注释结果未能成功")
        file_links = generate_file_link(preview_html_list)

-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            f"当前任务: <br/>{'<br/>'.join(tasks)}.<br/>" + 
            f"剩余源文件数量: {remain}.<br/>" + 
            f"已完成的文件: {sum(worker_done)}.<br/>" + 
--- a/crazy_functions/VideoResource_GPT.py
+++ b/crazy_functions/VideoResource_GPT.py
@@ -7,7 +7,7 @@ from bs4 import BeautifulSoup
 from functools import lru_cache
 from itertools import zip_longest
 from check_proxy import check_proxy
-from toolbox import CatchException, update_ui, get_conf, promote_file_to_downloadzone, update_ui_lastest_msg, generate_file_link
+from toolbox import CatchException, update_ui, get_conf, promote_file_to_downloadzone, update_ui_latest_msg, generate_file_link
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
 from request_llms.bridge_all import model_info
 from request_llms.bridge_all import predict_no_ui_long_connection
@@ -46,7 +46,7 @@ def download_video(bvid, user_name, chatbot, history):
    # pause a while
    tic_time = 8
    for i in range(tic_time):
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"即将下载音频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。", 
            chatbot=chatbot, history=[], delay=1)

@@ -61,13 +61,13 @@ def download_video(bvid, user_name, chatbot, history):
    # preview
    preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files]
    file_links = generate_file_link(preview_list)
-    yield from update_ui_lastest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
+    yield from update_ui_latest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
    chatbot.append((None, f"即将下载视频。"))

    # pause a while
    tic_time = 16
    for i in range(tic_time):
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"即将下载视频。等待{tic_time-i}秒后自动继续, 点击“停止”键取消此操作。", 
            chatbot=chatbot, history=[], delay=1)

@@ -78,7 +78,7 @@ def download_video(bvid, user_name, chatbot, history):
    # preview
    preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files_part2]
    file_links = generate_file_link(preview_list)
-    yield from update_ui_lastest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
+    yield from update_ui_latest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)

    # return
    return downloaded_files + downloaded_files_part2
@@ -110,7 +110,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
        # 结构化生成
        internet_search_keyword = user_wish

-        yield from update_ui_lastest_msg(lastmsg=f"发起互联网检索: {internet_search_keyword} ...", chatbot=chatbot, history=[], delay=1)
+        yield from update_ui_latest_msg(lastmsg=f"发起互联网检索: {internet_search_keyword} ...", chatbot=chatbot, history=[], delay=1)
        from crazy_functions.Internet_GPT import internet_search_with_analysis_prompt
        result = yield from internet_search_with_analysis_prompt(
            prompt=internet_search_keyword,
@@ -119,7 +119,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
            chatbot=chatbot
        )

-        yield from update_ui_lastest_msg(lastmsg=f"互联网检索结论: {result} \n\n 正在生成进一步检索方案 ...", chatbot=chatbot, history=[], delay=1)
+        yield from update_ui_latest_msg(lastmsg=f"互联网检索结论: {result} \n\n 正在生成进一步检索方案 ...", chatbot=chatbot, history=[], delay=1)
        rf_req = dedent(f"""
        The user wish to get the following resource:
            {user_wish}
@@ -132,7 +132,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
        rf_req = dedent(f"""
        The user wish to get the following resource:
            {user_wish}
-        Generate reseach keywords (less than 5 keywords) accordingly.
+        Generate research keywords (less than 5 keywords) accordingly.
        """)
    gpt_json_io = GptJsonIO(Query)
    inputs = rf_req + gpt_json_io.format_instructions
@@ -146,12 +146,12 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

    # 获取候选资源
-    candadate_dictionary: dict =  get_video_resource(video_engine_keywords)
-    candadate_dictionary_as_str = json.dumps(candadate_dictionary, ensure_ascii=False, indent=4)
+    candidate_dictionary: dict =  get_video_resource(video_engine_keywords)
+    candidate_dictionary_as_str = json.dumps(candidate_dictionary, ensure_ascii=False, indent=4)

    # 展示候选资源
-    candadate_display = "\n".join([f"{i+1}. {it['title']}" for i, it in enumerate(candadate_dictionary)])
-    chatbot.append((None, f"候选:\n\n{candadate_display}"))
+    candidate_display = "\n".join([f"{i+1}. {it['title']}" for i, it in enumerate(candidate_dictionary)])
+    chatbot.append((None, f"候选:\n\n{candidate_display}"))
    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

    # 结构化生成
@@ -160,7 +160,7 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
        {user_wish}

    Select the most relevant and suitable video resource from the following search results:
-        {candadate_dictionary_as_str}
+        {candidate_dictionary_as_str}

    Note:
        1. The first several search video results are more likely to satisfy the user's wish.
--- a/crazy_functions/agent_fns/auto_agent.py
+++ b/crazy_functions/agent_fns/auto_agent.py
@@ -1,5 +1,5 @@
 from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
-from toolbox import report_exception, get_log_folder, update_ui_lastest_msg, Singleton
+from toolbox import report_exception, get_log_folder, update_ui_latest_msg, Singleton
 from crazy_functions.agent_fns.pipe import PluginMultiprocessManager, PipeCom
 from crazy_functions.agent_fns.general import AutoGenGeneral

--- a/crazy_functions/agent_fns/echo_agent.py
+++ b/crazy_functions/agent_fns/echo_agent.py
@@ -8,7 +8,7 @@ class EchoDemo(PluginMultiprocessManager):
        while True:
            msg = self.child_conn.recv() # PipeCom
            if msg.cmd == "user_input":
-                # wait futher user input
+                # wait father user input
                self.child_conn.send(PipeCom("show", msg.content))
                wait_success = self.subprocess_worker_wait_user_feedback(wait_msg="我准备好处理下一个问题了.")
                if not wait_success:
--- a/crazy_functions/agent_fns/general.py
+++ b/crazy_functions/agent_fns/general.py
@@ -27,7 +27,7 @@ def gpt_academic_generate_oai_reply(
        llm_kwargs=llm_config,
        history=history,
        sys_prompt=self._oai_system_message[0]['content'],
-        console_slience=True
+        console_silence=True
    )
    assumed_done = reply.endswith('\nTERMINATE')
    return True, reply
--- a/crazy_functions/agent_fns/python_comment_agent.py
+++ b/crazy_functions/agent_fns/python_comment_agent.py
@@ -10,7 +10,7 @@ from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_
 # TODO: 解决缩进问题

 find_function_end_prompt = '''
-Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to sperate functions, class functions etc.
+Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to separate functions, class functions etc.
 - Provide the line number where the first visible function ends.
 - Provide the line number where the next visible function begins.
 - If there are no other functions in this page, you should simply return the line number of the last line.
@@ -59,7 +59,7 @@ OUTPUT:



-revise_funtion_prompt = '''
+revise_function_prompt = '''
 You need to read the following code, and revise the source code ({FILE_BASENAME}) according to following instructions:
 1. You should analyze the purpose of the functions (if there are any).
 2. You need to add docstring for the provided functions (if there are any).
@@ -117,7 +117,7 @@ def zip_result(folder):
 '''


-revise_funtion_prompt_chinese = '''
+revise_function_prompt_chinese = '''
 您需要阅读以下代码，并根据以下说明修订源代码({FILE_BASENAME}):
 1. 如果源代码中包含函数的话, 你应该分析给定函数实现了什么功能
 2. 如果源代码中包含函数的话, 你需要为函数添加docstring, docstring必须使用中文
@@ -188,9 +188,9 @@ class PythonCodeComment():
        self.language = language
        self.observe_window_update = observe_window_update
        if self.language == "chinese":
-            self.core_prompt = revise_funtion_prompt_chinese
+            self.core_prompt = revise_function_prompt_chinese
        else:
-            self.core_prompt = revise_funtion_prompt
+            self.core_prompt = revise_function_prompt
        self.path = None
        self.file_basename = None
        self.file_brief = ""
@@ -222,7 +222,7 @@ class PythonCodeComment():
            history=[],
            sys_prompt="",
            observe_window=[],
-            console_slience=True
+            console_silence=True
        )

        def extract_number(text):
@@ -316,7 +316,7 @@ class PythonCodeComment():
    def tag_code(self, fn, hint):
        code = fn
        _, n_indent = self.dedent(code)
-        indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preseve them in the OUTPUT.)"
+        indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preserve them in the OUTPUT.)"
        brief_reminder = "" if self.file_brief == "" else f"({self.file_basename} abstract: {self.file_brief})"
        hint_reminder = "" if hint is None else f"(Reminder: do not ignore or modify code such as `{hint}`, provide complete code in the OUTPUT.)"
        self.llm_kwargs['temperature'] = 0
@@ -333,7 +333,7 @@ class PythonCodeComment():
            history=[],
            sys_prompt="",
            observe_window=[],
-            console_slience=True
+            console_silence=True
        )

        def get_code_block(reply):
@@ -400,7 +400,7 @@ class PythonCodeComment():
        return revised

    def begin_comment_source_code(self, chatbot=None, history=None):
-        # from toolbox import update_ui_lastest_msg
+        # from toolbox import update_ui_latest_msg
        assert self.path is not None
        assert '.py' in self.path   # must be python source code
        # write_target = self.path + '.revised.py'
@@ -409,10 +409,10 @@ class PythonCodeComment():
        # with open(self.path + '.revised.py', 'w+', encoding='utf8') as f:
        while True:
            try:
-                # yield from update_ui_lastest_msg(f"({self.file_basename}) 正在读取下一段代码片段:\n", chatbot=chatbot, history=history, delay=0)
+                # yield from update_ui_latest_msg(f"({self.file_basename}) 正在读取下一段代码片段:\n", chatbot=chatbot, history=history, delay=0)
                next_batch, line_no_start, line_no_end = self.get_next_batch()
                self.observe_window_update(f"正在处理{self.file_basename} - {line_no_start}/{len(self.full_context)}\n")
-                # yield from update_ui_lastest_msg(f"({self.file_basename}) 处理代码片段:\n\n{next_batch}", chatbot=chatbot, history=history, delay=0)
+                # yield from update_ui_latest_msg(f"({self.file_basename}) 处理代码片段:\n\n{next_batch}", chatbot=chatbot, history=history, delay=0)
                
                hint = None
                MAX_ATTEMPT = 2
--- a/crazy_functions/crazy_utils.py
+++ b/crazy_functions/crazy_utils.py
@@ -1,7 +1,7 @@
 import os
 import threading
 from loguru import logger
-from shared_utils.char_visual_effect import scolling_visual_effect
+from shared_utils.char_visual_effect import scrolling_visual_effect
 from toolbox import update_ui, get_conf, trimmed_format_exc, get_max_token, Singleton

 def input_clipping(inputs, history, max_token_limit, return_clip_flags=False):
@@ -256,7 +256,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
                # 【第一种情况】：顺利完成
                gpt_say = predict_no_ui_long_connection(
                    inputs=inputs, llm_kwargs=llm_kwargs, history=history,
-                    sys_prompt=sys_prompt, observe_window=mutable[index], console_slience=True
+                    sys_prompt=sys_prompt, observe_window=mutable[index], console_silence=True
                )
                mutable[index][2] = "已成功"
                return gpt_say
@@ -326,7 +326,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
            mutable[thread_index][1] = time.time()
        # 在前端打印些好玩的东西
        for thread_index, _ in enumerate(worker_done):
-            print_something_really_funny = f"[ ...`{scolling_visual_effect(mutable[thread_index][0], scroller_max_len)}`... ]"
+            print_something_really_funny = f"[ ...`{scrolling_visual_effect(mutable[thread_index][0], scroller_max_len)}`... ]"
            observe_win.append(print_something_really_funny)
        # 在前端打印些好玩的东西
        stat_str = ''.join([f'`{mutable[thread_index][2]}`: {obs}\n\n'
@@ -389,11 +389,11 @@ def read_and_clean_pdf_text(fp):
        """
        提取文本块主字体
        """
-        fsize_statiscs = {}
+        fsize_statistics = {}
        for wtf in l['spans']:
-            if wtf['size'] not in fsize_statiscs: fsize_statiscs[wtf['size']] = 0
-            fsize_statiscs[wtf['size']] += len(wtf['text'])
-        return max(fsize_statiscs, key=fsize_statiscs.get)
+            if wtf['size'] not in fsize_statistics: fsize_statistics[wtf['size']] = 0
+            fsize_statistics[wtf['size']] += len(wtf['text'])
+        return max(fsize_statistics, key=fsize_statistics.get)

    def ffsize_same(a,b):
        """
@@ -433,11 +433,11 @@ def read_and_clean_pdf_text(fp):

        ############################## <第 2 步，获取正文主字体> ##################################
        try:
-            fsize_statiscs = {}
+            fsize_statistics = {}
            for span in meta_span:
-                if span[1] not in fsize_statiscs: fsize_statiscs[span[1]] = 0
-                fsize_statiscs[span[1]] += span[2]
-            main_fsize = max(fsize_statiscs, key=fsize_statiscs.get)
+                if span[1] not in fsize_statistics: fsize_statistics[span[1]] = 0
+                fsize_statistics[span[1]] += span[2]
+            main_fsize = max(fsize_statistics, key=fsize_statistics.get)
            if REMOVE_FOOT_NOTE:
                give_up_fize_threshold = main_fsize * REMOVE_FOOT_FFSIZE_PERCENT
        except:
@@ -610,9 +610,9 @@ class nougat_interface():


    def NOUGAT_parse_pdf(self, fp, chatbot, history):
-        from toolbox import update_ui_lastest_msg
+        from toolbox import update_ui_latest_msg

-        yield from update_ui_lastest_msg("正在解析论文, 请稍候。进度：正在排队, 等待线程锁...",
+        yield from update_ui_latest_msg("正在解析论文, 请稍候。进度：正在排队, 等待线程锁...",
                                         chatbot=chatbot, history=history, delay=0)
        self.threadLock.acquire()
        import glob, threading, os
@@ -620,7 +620,7 @@ class nougat_interface():
        dst = os.path.join(get_log_folder(plugin_name='nougat'), gen_time_str())
        os.makedirs(dst)

-        yield from update_ui_lastest_msg("正在解析论文, 请稍候。进度：正在加载NOUGAT... （提示：首次运行需要花费较长时间下载NOUGAT参数）",
+        yield from update_ui_latest_msg("正在解析论文, 请稍候。进度：正在加载NOUGAT... （提示：首次运行需要花费较长时间下载NOUGAT参数）",
                                         chatbot=chatbot, history=history, delay=0)
        command = ['nougat', '--out', os.path.abspath(dst), os.path.abspath(fp)]
        self.nougat_with_timeout(command, cwd=os.getcwd(), timeout=3600)
--- a/crazy_functions/game_fns/game_ascii_art.py
+++ b/crazy_functions/game_fns/game_ascii_art.py
@@ -1,4 +1,4 @@
-from toolbox import CatchException, update_ui, update_ui_lastest_msg
+from toolbox import CatchException, update_ui, update_ui_latest_msg
 from crazy_functions.multi_stage.multi_stage_utils import GptAcademicGameBaseState
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
 from request_llms.bridge_all import predict_no_ui_long_connection
@@ -13,7 +13,7 @@ class MiniGame_ASCII_Art(GptAcademicGameBaseState):
        else:
            if prompt.strip() == 'exit':
                self.delete_game = True
-                yield from update_ui_lastest_msg(lastmsg=f"谜底是{self.obj}，游戏结束。", chatbot=chatbot, history=history, delay=0.)
+                yield from update_ui_latest_msg(lastmsg=f"谜底是{self.obj}，游戏结束。", chatbot=chatbot, history=history, delay=0.)
                return
            chatbot.append([prompt, ""])
        yield from update_ui(chatbot=chatbot, history=history)
@@ -31,12 +31,12 @@ class MiniGame_ASCII_Art(GptAcademicGameBaseState):
            self.cur_task = 'identify user guess'
            res = get_code_block(raw_res)
            history += ['', f'the answer is {self.obj}', inputs, res]
-            yield from update_ui_lastest_msg(lastmsg=res, chatbot=chatbot, history=history, delay=0.)
+            yield from update_ui_latest_msg(lastmsg=res, chatbot=chatbot, history=history, delay=0.)

        elif self.cur_task == 'identify user guess':
            if is_same_thing(self.obj, prompt, self.llm_kwargs):
                self.delete_game = True
-                yield from update_ui_lastest_msg(lastmsg="你猜对了！", chatbot=chatbot, history=history, delay=0.)
+                yield from update_ui_latest_msg(lastmsg="你猜对了！", chatbot=chatbot, history=history, delay=0.)
            else:
                self.cur_task = 'identify user guess'
-                yield from update_ui_lastest_msg(lastmsg="猜错了，再试试，输入“exit”获取答案。", chatbot=chatbot, history=history, delay=0.)
+                yield from update_ui_latest_msg(lastmsg="猜错了，再试试，输入“exit”获取答案。", chatbot=chatbot, history=history, delay=0.)
--- a/crazy_functions/game_fns/game_interactive_story.py
+++ b/crazy_functions/game_fns/game_interactive_story.py
@@ -63,7 +63,7 @@ prompts_terminate = """小说的前文回顾：
 """


-from toolbox import CatchException, update_ui, update_ui_lastest_msg
+from toolbox import CatchException, update_ui, update_ui_latest_msg
 from crazy_functions.multi_stage.multi_stage_utils import GptAcademicGameBaseState
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
 from request_llms.bridge_all import predict_no_ui_long_connection
@@ -112,7 +112,7 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState):
            if prompt.strip() == 'exit' or prompt.strip() == '结束剧情':
                # should we terminate game here?
                self.delete_game = True
-                yield from update_ui_lastest_msg(lastmsg=f"游戏结束。", chatbot=chatbot, history=history, delay=0.)
+                yield from update_ui_latest_msg(lastmsg=f"游戏结束。", chatbot=chatbot, history=history, delay=0.)
                return
            if '剧情收尾' in prompt:
                self.cur_task = 'story_terminate'
@@ -137,8 +137,8 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState):
            )
            self.story.append(story_paragraph)
            # # 配图
-            yield from update_ui_lastest_msg(lastmsg=story_paragraph + '<br/>正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.)
-            yield from update_ui_lastest_msg(lastmsg=story_paragraph + '<br/>'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.)
+            yield from update_ui_latest_msg(lastmsg=story_paragraph + '<br/>正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.)
+            yield from update_ui_latest_msg(lastmsg=story_paragraph + '<br/>'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.)

            # # 构建后续剧情引导
            previously_on_story = ""
@@ -171,8 +171,8 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState):
            )
            self.story.append(story_paragraph)
            # # 配图
-            yield from update_ui_lastest_msg(lastmsg=story_paragraph + '<br/>正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.)
-            yield from update_ui_lastest_msg(lastmsg=story_paragraph + '<br/>'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.)
+            yield from update_ui_latest_msg(lastmsg=story_paragraph + '<br/>正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.)
+            yield from update_ui_latest_msg(lastmsg=story_paragraph + '<br/>'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.)

            # # 构建后续剧情引导
            previously_on_story = ""
@@ -204,8 +204,8 @@ class MiniGame_ResumeStory(GptAcademicGameBaseState):
                chatbot, history_, self.sys_prompt_
            )
            # # 配图
-            yield from update_ui_lastest_msg(lastmsg=story_paragraph + '<br/>正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.)
-            yield from update_ui_lastest_msg(lastmsg=story_paragraph + '<br/>'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.)
+            yield from update_ui_latest_msg(lastmsg=story_paragraph + '<br/>正在生成插图中 ...', chatbot=chatbot, history=history, delay=0.)
+            yield from update_ui_latest_msg(lastmsg=story_paragraph + '<br/>'+ self.generate_story_image(story_paragraph), chatbot=chatbot, history=history, delay=0.)

            # terminate game
            self.delete_game = True
--- a/crazy_functions/gen_fns/gen_fns_shared.py
+++ b/crazy_functions/gen_fns/gen_fns_shared.py
@@ -2,7 +2,7 @@ import time
 import importlib
 from toolbox import trimmed_format_exc, gen_time_str, get_log_folder
 from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, is_the_upload_folder
-from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_lastest_msg
+from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_latest_msg
 import multiprocessing

 def get_class_name(class_string):
--- a/crazy_functions/json_fns/pydantic_io.py
+++ b/crazy_functions/json_fns/pydantic_io.py
@@ -102,10 +102,10 @@ class GptJsonIO():
                logging.info(f'Repairing json：{response}')
                repair_prompt = self.generate_repair_prompt(broken_json = response, error=repr(e))
                result = self.generate_output(gpt_gen_fn(repair_prompt, self.format_instructions))
-                logging.info('Repaire json success.')
+                logging.info('Repair json success.')
            except Exception as e:
                # 没辙了，放弃治疗
-                logging.info('Repaire json fail.')
+                logging.info('Repair json fail.')
                raise JsonStringError('Cannot repair json.', str(e))
        return result

--- a/crazy_functions/latex_fns/latex_actions.py
+++ b/crazy_functions/latex_fns/latex_actions.py
@@ -3,7 +3,7 @@ import re
 import shutil
 import numpy as np
 from loguru import logger
-from toolbox import update_ui, update_ui_lastest_msg, get_log_folder, gen_time_str
+from toolbox import update_ui, update_ui_latest_msg, get_log_folder, gen_time_str
 from toolbox import get_conf, promote_file_to_downloadzone
 from crazy_functions.latex_fns.latex_toolbox import PRESERVE, TRANSFORM
 from crazy_functions.latex_fns.latex_toolbox import set_forbidden_text, set_forbidden_text_begin_end, set_forbidden_text_careful_brace
@@ -20,7 +20,7 @@ def split_subprocess(txt, project_folder, return_dict, opts):
    """
    break down latex file to a linked list,
    each node use a preserve flag to indicate whether it should
-    be proccessed by GPT.
+    be processed by GPT.
    """
    text = txt
    mask = np.zeros(len(txt), dtype=np.uint8) + TRANSFORM
@@ -85,14 +85,14 @@ class LatexPaperSplit():
    """
    break down latex file to a linked list,
    each node use a preserve flag to indicate whether it should
-    be proccessed by GPT.
+    be processed by GPT.
    """
    def __init__(self) -> None:
        self.nodes = None
        self.msg = "*{\\scriptsize\\textbf{警告：该PDF由GPT-Academic开源项目调用大语言模型+Latex翻译插件一键生成，" + \
            "版权归原文作者所有。翻译内容可靠性无保障，请仔细鉴别并以原文为准。" + \
            "项目Github地址 \\url{https://github.com/binary-husky/gpt_academic/}。"
-        # 请您不要删除或修改这行警告，除非您是论文的原作者（如果您是论文原作者，欢迎加REAME中的QQ联系开发者）
+        # 请您不要删除或修改这行警告，除非您是论文的原作者（如果您是论文原作者，欢迎加README中的QQ联系开发者）
        self.msg_declare = "为了防止大语言模型的意外谬误产生扩散影响，禁止移除或修改此警告。}}\\\\"
        self.title = "unknown"
        self.abstract = "unknown"
@@ -151,7 +151,7 @@ class LatexPaperSplit():
        """
        break down latex file to a linked list,
        each node use a preserve flag to indicate whether it should
-        be proccessed by GPT.
+        be processed by GPT.
        P.S. use multiprocessing to avoid timeout error
        """
        import multiprocessing
@@ -351,7 +351,7 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
    max_try = 32
    chatbot.append([f"正在编译PDF文档", f'编译已经开始。当前工作路径为{work_folder}，如果程序停顿5分钟以上，请直接去该路径下取回翻译结果，或者重启之后再度尝试 ...']); yield from update_ui(chatbot=chatbot, history=history)
    chatbot.append([f"正在编译PDF文档", '...']); yield from update_ui(chatbot=chatbot, history=history); time.sleep(1); chatbot[-1] = list(chatbot[-1]) # 刷新界面
-    yield from update_ui_lastest_msg('编译已经开始...', chatbot, history)   # 刷新Gradio前端界面
+    yield from update_ui_latest_msg('编译已经开始...', chatbot, history)   # 刷新Gradio前端界面
    # 检查是否需要使用xelatex
    def check_if_need_xelatex(tex_path):
        try:
@@ -396,32 +396,32 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
            shutil.copyfile(may_exist_bbl, target_bbl)

        # https://stackoverflow.com/questions/738755/dont-make-me-manually-abort-a-latex-compile-when-theres-an-error
-        yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history)   # 刷新Gradio前端界面
+        yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译原始PDF ...', chatbot, history)   # 刷新Gradio前端界面
        ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_original), work_folder_original)

-        yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history)   # 刷新Gradio前端界面
+        yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译转化后的PDF ...', chatbot, history)   # 刷新Gradio前端界面
        ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_modified), work_folder_modified)

        if ok and os.path.exists(pj(work_folder_modified, f'{main_file_modified}.pdf')):
            # 只有第二步成功，才能继续下面的步骤
-            yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history)    # 刷新Gradio前端界面
+            yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译BibTex ...', chatbot, history)    # 刷新Gradio前端界面
            if not os.path.exists(pj(work_folder_original, f'{main_file_original}.bbl')):
                ok = compile_latex_with_timeout(f'bibtex  {main_file_original}.aux', work_folder_original)
            if not os.path.exists(pj(work_folder_modified, f'{main_file_modified}.bbl')):
                ok = compile_latex_with_timeout(f'bibtex  {main_file_modified}.aux', work_folder_modified)

-            yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history)  # 刷新Gradio前端界面
+            yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 编译文献交叉引用 ...', chatbot, history)  # 刷新Gradio前端界面
            ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_original), work_folder_original)
            ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_modified), work_folder_modified)
            ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_original), work_folder_original)
            ok = compile_latex_with_timeout(get_compile_command(compiler, main_file_modified), work_folder_modified)

            if mode!='translate_zh':
-                yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面
+                yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 使用latexdiff生成论文转化前后对比 ...', chatbot, history) # 刷新Gradio前端界面
                logger.info(    f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex  {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex')
                ok = compile_latex_with_timeout(f'latexdiff --encoding=utf8 --append-safecmd=subfile {work_folder_original}/{main_file_original}.tex  {work_folder_modified}/{main_file_modified}.tex --flatten > {work_folder}/merge_diff.tex', os.getcwd())

-                yield from update_ui_lastest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history)   # 刷新Gradio前端界面
+                yield from update_ui_latest_msg(f'尝试第 {n_fix}/{max_try} 次编译, 正在编译对比PDF ...', chatbot, history)   # 刷新Gradio前端界面
                ok = compile_latex_with_timeout(get_compile_command(compiler, 'merge_diff'), work_folder)
                ok = compile_latex_with_timeout(f'bibtex    merge_diff.aux', work_folder)
                ok = compile_latex_with_timeout(get_compile_command(compiler, 'merge_diff'), work_folder)
@@ -435,13 +435,13 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
        results_ += f"原始PDF编译是否成功: {original_pdf_success};"
        results_ += f"转化PDF编译是否成功: {modified_pdf_success};"
        results_ += f"对比PDF编译是否成功: {diff_pdf_success};"
-        yield from update_ui_lastest_msg(f'第{n_fix}编译结束:<br/>{results_}...', chatbot, history) # 刷新Gradio前端界面
+        yield from update_ui_latest_msg(f'第{n_fix}编译结束:<br/>{results_}...', chatbot, history) # 刷新Gradio前端界面

        if diff_pdf_success:
            result_pdf = pj(work_folder_modified, f'merge_diff.pdf')    # get pdf path
            promote_file_to_downloadzone(result_pdf, rename_file=None, chatbot=chatbot)  # promote file to web UI
        if modified_pdf_success:
-            yield from update_ui_lastest_msg(f'转化PDF编译已经成功, 正在尝试生成对比PDF, 请稍候 ...', chatbot, history)    # 刷新Gradio前端界面
+            yield from update_ui_latest_msg(f'转化PDF编译已经成功, 正在尝试生成对比PDF, 请稍候 ...', chatbot, history)    # 刷新Gradio前端界面
            result_pdf = pj(work_folder_modified, f'{main_file_modified}.pdf') # get pdf path
            origin_pdf = pj(work_folder_original, f'{main_file_original}.pdf') # get pdf path
            if os.path.exists(pj(work_folder, '..', 'translation')):
@@ -472,7 +472,7 @@ def 编译Latex(chatbot, history, main_file_original, main_file_modified, work_f
                work_folder_modified=work_folder_modified,
                fixed_line=fixed_line
            )
-            yield from update_ui_lastest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history)   # 刷新Gradio前端界面
+            yield from update_ui_latest_msg(f'由于最为关键的转化PDF编译失败, 将根据报错信息修正tex源文件并重试, 当前报错的latex代码处于第{buggy_lines}行 ...', chatbot, history)   # 刷新Gradio前端界面
            if not can_retry: break

    return False # 失败啦
--- a/crazy_functions/latex_fns/latex_toolbox.py
+++ b/crazy_functions/latex_fns/latex_toolbox.py
@@ -168,7 +168,7 @@ def set_forbidden_text(text, mask, pattern, flags=0):
 def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True):
    """
    Move area out of preserve area (make text editable for GPT)
-    count the number of the braces so as to catch compelete text area.
+    count the number of the braces so as to catch complete text area.
    e.g.
    \begin{abstract} blablablablablabla. \end{abstract}
    """
@@ -188,7 +188,7 @@ def reverse_forbidden_text(text, mask, pattern, flags=0, forbid_wrapper=True):
 def set_forbidden_text_careful_brace(text, mask, pattern, flags=0):
    """
    Add a preserve text area in this paper (text become untouchable for GPT).
-    count the number of the braces so as to catch compelete text area.
+    count the number of the braces so as to catch complete text area.
    e.g.
    \caption{blablablablabla\texbf{blablabla}blablabla.}
    """
@@ -214,7 +214,7 @@ def reverse_forbidden_text_careful_brace(
 ):
    """
    Move area out of preserve area (make text editable for GPT)
-    count the number of the braces so as to catch compelete text area.
+    count the number of the braces so as to catch complete text area.
    e.g.
    \caption{blablablablabla\texbf{blablabla}blablabla.}
    """
@@ -287,23 +287,23 @@ def find_main_tex_file(file_manifest, mode):
    在多Tex文档中，寻找主文件，必须包含documentclass，返回找到的第一个。
    P.S. 但愿没人把latex模板放在里面传进来 (6.25 加入判定latex模板的代码)
    """
-    canidates = []
+    candidates = []
    for texf in file_manifest:
        if os.path.basename(texf).startswith("merge"):
            continue
        with open(texf, "r", encoding="utf8", errors="ignore") as f:
            file_content = f.read()
        if r"\documentclass" in file_content:
-            canidates.append(texf)
+            candidates.append(texf)
        else:
            continue

-    if len(canidates) == 0:
+    if len(candidates) == 0:
        raise RuntimeError("无法找到一个主Tex文件（包含documentclass关键字）")
-    elif len(canidates) == 1:
-        return canidates[0]
-    else:  # if len(canidates) >= 2 通过一些Latex模板中常见（但通常不会出现在正文）的单词，对不同latex源文件扣分，取评分最高者返回
-        canidates_score = []
+    elif len(candidates) == 1:
+        return candidates[0]
+    else:  # if len(candidates) >= 2 通过一些Latex模板中常见（但通常不会出现在正文）的单词，对不同latex源文件扣分，取评分最高者返回
+        candidates_score = []
        # 给出一些判定模板文档的词作为扣分项
        unexpected_words = [
            "\\LaTeX",
@@ -316,19 +316,19 @@ def find_main_tex_file(file_manifest, mode):
            "reviewers",
        ]
        expected_words = ["\\input", "\\ref", "\\cite"]
-        for texf in canidates:
-            canidates_score.append(0)
+        for texf in candidates:
+            candidates_score.append(0)
            with open(texf, "r", encoding="utf8", errors="ignore") as f:
                file_content = f.read()
                file_content = rm_comments(file_content)
            for uw in unexpected_words:
                if uw in file_content:
-                    canidates_score[-1] -= 1
+                    candidates_score[-1] -= 1
            for uw in expected_words:
                if uw in file_content:
-                    canidates_score[-1] += 1
-        select = np.argmax(canidates_score)  # 取评分最高者返回
-        return canidates[select]
+                    candidates_score[-1] += 1
+        select = np.argmax(candidates_score)  # 取评分最高者返回
+        return candidates[select]


 def rm_comments(main_file):
@@ -374,7 +374,7 @@ def find_tex_file_ignore_case(fp):

 def merge_tex_files_(project_foler, main_file, mode):
    """
-    Merge Tex project recrusively
+    Merge Tex project recursively
    """
    main_file = rm_comments(main_file)
    for s in reversed([q for q in re.finditer(r"\\input\{(.*?)\}", main_file, re.M)]):
@@ -429,7 +429,7 @@ def find_title_and_abs(main_file):

 def merge_tex_files(project_foler, main_file, mode):
    """
-    Merge Tex project recrusively
+    Merge Tex project recursively
    P.S. 顺便把CTEX塞进去以支持中文
    P.S. 顺便把Latex的注释去除
    """
--- a/crazy_functions/media_fns/get_media.py
+++ b/crazy_functions/media_fns/get_media.py
@@ -1,4 +1,4 @@
-from toolbox import update_ui, get_conf, promote_file_to_downloadzone, update_ui_lastest_msg, generate_file_link
+from toolbox import update_ui, get_conf, promote_file_to_downloadzone, update_ui_latest_msg, generate_file_link
 from shared_utils.docker_as_service_api import stream_daas
 from shared_utils.docker_as_service_api import DockerServiceApiComModel
 import random
@@ -25,7 +25,7 @@ def download_video(video_id, only_audio, user_name, chatbot, history):
        status_buf += "\n\n"
        status_buf += "DaaS file attach: \n\n"
        status_buf += str(output_manifest['server_file_attach'])
-        yield from update_ui_lastest_msg(status_buf, chatbot, history)
+        yield from update_ui_latest_msg(status_buf, chatbot, history)

    return output_manifest['server_file_attach']

--- a/crazy_functions/multi_stage/multi_stage_utils.py
+++ b/crazy_functions/multi_stage/multi_stage_utils.py
@@ -1,6 +1,6 @@
 from pydantic import BaseModel, Field
 from typing import List
-from toolbox import update_ui_lastest_msg, disable_auto_promotion
+from toolbox import update_ui_latest_msg, disable_auto_promotion
 from toolbox import CatchException, update_ui, get_conf, select_api_key, get_log_folder
 from request_llms.bridge_all import predict_no_ui_long_connection
 from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
--- a/crazy_functions/pdf_fns/parse_pdf.py
+++ b/crazy_functions/pdf_fns/parse_pdf.py
@@ -113,7 +113,7 @@ def translate_pdf(article_dict, llm_kwargs, chatbot, fp, generated_conclusion_fi
            return [txt]
        else:
            # raw_token_num > TOKEN_LIMIT_PER_FRAGMENT
-            # find a smooth token limit to achieve even seperation
+            # find a smooth token limit to achieve even separation
            count = int(math.ceil(raw_token_num / TOKEN_LIMIT_PER_FRAGMENT))
            token_limit_smooth = raw_token_num // count + count
            return breakdown_text_to_satisfy_token_limit(txt, limit=token_limit_smooth, llm_model=llm_kwargs['llm_model'])
--- a/crazy_functions/pdf_fns/parse_pdf_grobid.py
+++ b/crazy_functions/pdf_fns/parse_pdf_grobid.py
@@ -1,6 +1,6 @@
 import os
 from toolbox import CatchException, report_exception, get_log_folder, gen_time_str, check_packages
-from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion
+from toolbox import update_ui, promote_file_to_downloadzone, update_ui_latest_msg, disable_auto_promotion
 from toolbox import write_history_to_file, promote_file_to_downloadzone, get_conf, extract_archive
 from crazy_functions.pdf_fns.parse_pdf import parse_pdf, translate_pdf

--- a/crazy_functions/pdf_fns/parse_word.py
+++ b/crazy_functions/pdf_fns/parse_word.py
@@ -14,17 +14,17 @@ def extract_text_from_files(txt, chatbot, history):
        final_result(list):文本内容
        page_one(list):第一页内容/摘要
        file_manifest(list):文件路径
-        excption(string):需要用户手动处理的信息,如没出错则保持为空
+        exception(string):需要用户手动处理的信息,如没出错则保持为空
    """

    final_result = []
    page_one = []
    file_manifest = []
-    excption = ""
+    exception = ""

    if txt == "":
        final_result.append(txt)
-        return False, final_result, page_one, file_manifest, excption   #如输入区内容不是文件则直接返回输入区内容
+        return False, final_result, page_one, file_manifest, exception   #如输入区内容不是文件则直接返回输入区内容

    #查找输入区内容中的文件
    file_pdf,pdf_manifest,folder_pdf = get_files_from_everything(txt, '.pdf')
@@ -33,20 +33,20 @@ def extract_text_from_files(txt, chatbot, history):
    file_doc,doc_manifest,folder_doc = get_files_from_everything(txt, '.doc')

    if file_doc:
-        excption = "word"
-        return False, final_result, page_one, file_manifest, excption
+        exception = "word"
+        return False, final_result, page_one, file_manifest, exception

    file_num = len(pdf_manifest) + len(md_manifest) + len(word_manifest)
    if file_num == 0:
        final_result.append(txt)
-        return False, final_result, page_one, file_manifest, excption   #如输入区内容不是文件则直接返回输入区内容
+        return False, final_result, page_one, file_manifest, exception   #如输入区内容不是文件则直接返回输入区内容

    if file_pdf:
        try:    # 尝试导入依赖，如果缺少依赖，则给出安装建议
            import fitz
        except:
-            excption = "pdf"
-            return False, final_result, page_one, file_manifest, excption
+            exception = "pdf"
+            return False, final_result, page_one, file_manifest, exception
        for index, fp in enumerate(pdf_manifest):
            file_content, pdf_one = read_and_clean_pdf_text(fp) # （尝试）按照章节切割PDF
            file_content = file_content.encode('utf-8', 'ignore').decode()   # avoid reading non-utf8 chars
@@ -72,8 +72,8 @@ def extract_text_from_files(txt, chatbot, history):
        try:    # 尝试导入依赖，如果缺少依赖，则给出安装建议
            from docx import Document
        except:
-            excption = "word_pip"
-            return False, final_result, page_one, file_manifest, excption
+            exception = "word_pip"
+            return False, final_result, page_one, file_manifest, exception
        for index, fp in enumerate(word_manifest):
            doc = Document(fp)
            file_content = '\n'.join([p.text for p in doc.paragraphs])
@@ -82,4 +82,4 @@ def extract_text_from_files(txt, chatbot, history):
            final_result.append(file_content)
            file_manifest.append(os.path.relpath(fp, folder_word))

-    return True, final_result, page_one, file_manifest, excption
+    return True, final_result, page_one, file_manifest, exception
--- a/crazy_functions/vector_fns/vector_database.py
+++ b/crazy_functions/vector_fns/vector_database.py
@@ -60,7 +60,7 @@ def similarity_search_with_score_by_vector(
        self, embedding: List[float], k: int = 4
 ) -> List[Tuple[Document, float]]:

-    def seperate_list(ls: List[int]) -> List[List[int]]:
+    def separate_list(ls: List[int]) -> List[List[int]]:
        lists = []
        ls1 = [ls[0]]
        for i in range(1, len(ls)):
@@ -82,7 +82,7 @@ def similarity_search_with_score_by_vector(
            continue
        _id = self.index_to_docstore_id[i]
        doc = self.docstore.search(_id)
-        if not self.chunk_conent:
+        if not self.chunk_content:
            if not isinstance(doc, Document):
                raise ValueError(f"Could not find document for id {_id}, got {doc}")
            doc.metadata["score"] = int(scores[0][j])
@@ -104,12 +104,12 @@ def similarity_search_with_score_by_vector(
                        id_set.add(l)
            if break_flag:
                break
-    if not self.chunk_conent:
+    if not self.chunk_content:
        return docs
    if len(id_set) == 0 and self.score_threshold > 0:
        return []
    id_list = sorted(list(id_set))
-    id_lists = seperate_list(id_list)
+    id_lists = separate_list(id_list)
    for id_seq in id_lists:
        for id in id_seq:
            if id == id_seq[0]:
@@ -132,7 +132,7 @@ class LocalDocQA:
    embeddings: object = None
    top_k: int = VECTOR_SEARCH_TOP_K
    chunk_size: int = CHUNK_SIZE
-    chunk_conent: bool = True
+    chunk_content: bool = True
    score_threshold: int = VECTOR_SEARCH_SCORE_THRESHOLD

    def init_cfg(self,
@@ -209,16 +209,16 @@ class LocalDocQA:

    # query      查询内容
    # vs_path    知识库路径
-    # chunk_conent   是否启用上下文关联
+    # chunk_content   是否启用上下文关联
    # score_threshold    搜索匹配score阈值
    # vector_search_top_k   搜索知识库内容条数，默认搜索5条结果
    # chunk_sizes    匹配单段内容的连接上下文长度
-    def get_knowledge_based_conent_test(self, query, vs_path, chunk_conent,
+    def get_knowledge_based_content_test(self, query, vs_path, chunk_content,
                                        score_threshold=VECTOR_SEARCH_SCORE_THRESHOLD,
                                        vector_search_top_k=VECTOR_SEARCH_TOP_K, chunk_size=CHUNK_SIZE,
                                        text2vec=None):
        self.vector_store = FAISS.load_local(vs_path, text2vec)
-        self.vector_store.chunk_conent = chunk_conent
+        self.vector_store.chunk_content = chunk_content
        self.vector_store.score_threshold = score_threshold
        self.vector_store.chunk_size = chunk_size

@@ -241,7 +241,7 @@ class LocalDocQA:



-def construct_vector_store(vs_id, vs_path, files, sentence_size, history, one_conent, one_content_segmentation, text2vec):
+def construct_vector_store(vs_id, vs_path, files, sentence_size, history, one_content, one_content_segmentation, text2vec):
    for file in files:
        assert os.path.exists(file), "输入文件不存在：" + file
    import nltk
@@ -297,7 +297,7 @@ class knowledge_archive_interface():
            files=file_manifest,
            sentence_size=100,
            history=[],
-            one_conent="",
+            one_content="",
            one_content_segmentation="",
            text2vec = self.get_chinese_text2vec(),
        )
@@ -319,19 +319,19 @@ class knowledge_archive_interface():
                files=[],
                sentence_size=100,
                history=[],
-                one_conent="",
+                one_content="",
                one_content_segmentation="",
                text2vec = self.get_chinese_text2vec(),
            )
        VECTOR_SEARCH_SCORE_THRESHOLD = 0
        VECTOR_SEARCH_TOP_K = 4
        CHUNK_SIZE = 512
-        resp, prompt = self.qa_handle.get_knowledge_based_conent_test(
+        resp, prompt = self.qa_handle.get_knowledge_based_content_test(
            query = txt,
            vs_path = self.kai_path,
            score_threshold=VECTOR_SEARCH_SCORE_THRESHOLD,
            vector_search_top_k=VECTOR_SEARCH_TOP_K,
-            chunk_conent=True,
+            chunk_content=True,
            chunk_size=CHUNK_SIZE,
            text2vec = self.get_chinese_text2vec(),
        )
--- a/crazy_functions/vt_fns/vt_call_plugin.py
+++ b/crazy_functions/vt_fns/vt_call_plugin.py
@@ -1,6 +1,6 @@
 from pydantic import BaseModel, Field
 from typing import List
-from toolbox import update_ui_lastest_msg, disable_auto_promotion
+from toolbox import update_ui_latest_msg, disable_auto_promotion
 from request_llms.bridge_all import predict_no_ui_long_connection
 from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
 import copy, json, pickle, os, sys, time
@@ -9,14 +9,14 @@ import copy, json, pickle, os, sys, time
 def read_avail_plugin_enum():
    from crazy_functional import get_crazy_functions
    plugin_arr = get_crazy_functions()
-    # remove plugins with out explaination
+    # remove plugins with out explanation
    plugin_arr = {k:v for k, v in plugin_arr.items() if ('Info' in v) and ('Function' in v)}
    plugin_arr_info = {"F_{:04d}".format(i):v["Info"] for i, v in enumerate(plugin_arr.values(), start=1)}
    plugin_arr_dict = {"F_{:04d}".format(i):v for i, v in enumerate(plugin_arr.values(), start=1)}
    plugin_arr_dict_parse = {"F_{:04d}".format(i):v for i, v in enumerate(plugin_arr.values(), start=1)}
    plugin_arr_dict_parse.update({f"F_{i}":v for i, v in enumerate(plugin_arr.values(), start=1)})
    prompt = json.dumps(plugin_arr_info, ensure_ascii=False, indent=2)
-    prompt = "\n\nThe defination of PluginEnum:\nPluginEnum=" + prompt
+    prompt = "\n\nThe definition of PluginEnum:\nPluginEnum=" + prompt
    return prompt, plugin_arr_dict, plugin_arr_dict_parse

 def wrap_code(txt):
@@ -55,7 +55,7 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
        plugin_selection: str = Field(description="The most related plugin from one of the PluginEnum.", default="F_0000")
        reason_of_selection: str = Field(description="The reason why you should select this plugin.", default="This plugin satisfy user requirement most")
    # ⭐ ⭐ ⭐ 选择插件
-    yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n查找可用插件中...", chatbot=chatbot, history=history, delay=0)
+    yield from update_ui_latest_msg(lastmsg=f"正在执行任务: {txt}\n\n查找可用插件中...", chatbot=chatbot, history=history, delay=0)
    gpt_json_io = GptJsonIO(Plugin)
    gpt_json_io.format_instructions = "The format of your output should be a json that can be parsed by json.loads.\n"
    gpt_json_io.format_instructions += """Output example: {"plugin_selection":"F_1234", "reason_of_selection":"F_1234 plugin satisfy user requirement most"}\n"""
@@ -74,13 +74,13 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
        msg += "请求的Prompt为：\n" + wrap_code(get_inputs_show_user(inputs, plugin_arr_enum_prompt))
        msg += "语言模型回复为：\n" + wrap_code(gpt_reply)
        msg += "\n但您可以尝试再试一次\n"
-        yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
+        yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
        return
    if plugin_sel.plugin_selection not in plugin_arr_dict_parse:
        msg = f"抱歉, 找不到合适插件执行该任务, 或者{llm_kwargs['llm_model']}无法理解您的需求。"
        msg += f"语言模型{llm_kwargs['llm_model']}选择了不存在的插件：\n" + wrap_code(gpt_reply)
        msg += "\n但您可以尝试再试一次\n"
-        yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
+        yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
        return

    # ⭐ ⭐ ⭐ 确认插件参数
@@ -90,7 +90,7 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
        appendix_info = get_recent_file_prompt_support(chatbot)

    plugin = plugin_arr_dict_parse[plugin_sel.plugin_selection]
-    yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n提取插件参数...", chatbot=chatbot, history=history, delay=0)
+    yield from update_ui_latest_msg(lastmsg=f"正在执行任务: {txt}\n\n提取插件参数...", chatbot=chatbot, history=history, delay=0)
    class PluginExplicit(BaseModel):
        plugin_selection: str = plugin_sel.plugin_selection
        plugin_arg: str = Field(description="The argument of the plugin.", default="")
@@ -109,6 +109,6 @@ def execute_plugin(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prom
    fn = plugin['Function']
    fn_name = fn.__name__
    msg = f'{llm_kwargs["llm_model"]}为您选择了插件: `{fn_name}`\n\n插件说明：{plugin["Info"]}\n\n插件参数：{plugin_sel.plugin_arg}\n\n假如偏离了您的要求，按停止键终止。'
-    yield from update_ui_lastest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
+    yield from update_ui_latest_msg(lastmsg=msg, chatbot=chatbot, history=history, delay=2)
    yield from fn(plugin_sel.plugin_arg, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, -1)
    return
--- a/crazy_functions/vt_fns/vt_modify_config.py
+++ b/crazy_functions/vt_fns/vt_modify_config.py
@@ -1,6 +1,6 @@
 from pydantic import BaseModel, Field
 from typing import List
-from toolbox import update_ui_lastest_msg, get_conf
+from toolbox import update_ui_latest_msg, get_conf
 from request_llms.bridge_all import predict_no_ui_long_connection
 from crazy_functions.json_fns.pydantic_io import GptJsonIO
 import copy, json, pickle, os, sys
@@ -9,7 +9,7 @@ import copy, json, pickle, os, sys
 def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
    ALLOW_RESET_CONFIG = get_conf('ALLOW_RESET_CONFIG')
    if not ALLOW_RESET_CONFIG:
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"当前配置不允许被修改！如需激活本功能，请在config.py中设置ALLOW_RESET_CONFIG=True后重启软件。",
            chatbot=chatbot, history=history, delay=2
        )
@@ -30,7 +30,7 @@ def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
        new_option_value: str = Field(description="the new value of the option", default=None)

    # ⭐ ⭐ ⭐ 分析用户意图
-    yield from update_ui_lastest_msg(lastmsg=f"正在执行任务: {txt}\n\n读取新配置中", chatbot=chatbot, history=history, delay=0)
+    yield from update_ui_latest_msg(lastmsg=f"正在执行任务: {txt}\n\n读取新配置中", chatbot=chatbot, history=history, delay=0)
    gpt_json_io = GptJsonIO(ModifyConfigurationIntention)
    inputs = "Analyze how to change configuration according to following user input, answer me with json: \n\n" + \
             ">> " + txt.rstrip('\n').replace('\n','\n>> ') + '\n\n' + \
@@ -44,11 +44,11 @@ def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, s

    ok = (explicit_conf in txt)
    if ok:
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"正在执行任务: {txt}\n\n新配置{explicit_conf}={user_intention.new_option_value}",
            chatbot=chatbot, history=history, delay=1
        )
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"正在执行任务: {txt}\n\n新配置{explicit_conf}={user_intention.new_option_value}\n\n正在修改配置中",
            chatbot=chatbot, history=history, delay=2
        )
@@ -57,25 +57,25 @@ def modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
        from toolbox import set_conf
        set_conf(explicit_conf, user_intention.new_option_value)

-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"正在执行任务: {txt}\n\n配置修改完成，重新页面即可生效。", chatbot=chatbot, history=history, delay=1
        )
    else:
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"失败，如果需要配置{explicit_conf}，您需要明确说明并在指令中提到它。", chatbot=chatbot, history=history, delay=5
        )

 def modify_configuration_reboot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention):
    ALLOW_RESET_CONFIG = get_conf('ALLOW_RESET_CONFIG')
    if not ALLOW_RESET_CONFIG:
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"当前配置不允许被修改！如需激活本功能，请在config.py中设置ALLOW_RESET_CONFIG=True后重启软件。",
            chatbot=chatbot, history=history, delay=2
        )
        return

    yield from modify_configuration_hot(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_intention)
-    yield from update_ui_lastest_msg(
+    yield from update_ui_latest_msg(
        lastmsg=f"正在执行任务: {txt}\n\n配置修改完成，五秒后即将重启！若出现报错请无视即可。", chatbot=chatbot, history=history, delay=5
    )
    os.execl(sys.executable, sys.executable, *sys.argv)
--- a/crazy_functions/vt_fns/vt_state.py
+++ b/crazy_functions/vt_fns/vt_state.py
@@ -5,7 +5,7 @@ class VoidTerminalState():
        self.reset_state()

    def reset_state(self):
-        self.has_provided_explaination = False
+        self.has_provided_explanation = False

    def lock_plugin(self, chatbot):
        chatbot._cookies['lock_plugin'] = 'crazy_functions.虚空终端->虚空终端'
--- a/crazy_functions/互动小游戏.py
+++ b/crazy_functions/互动小游戏.py
@@ -1,4 +1,4 @@
-from toolbox import CatchException, update_ui, update_ui_lastest_msg
+from toolbox import CatchException, update_ui, update_ui_latest_msg
 from crazy_functions.multi_stage.multi_stage_utils import GptAcademicGameBaseState
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
 from request_llms.bridge_all import predict_no_ui_long_connection
--- a/crazy_functions/函数动态生成.py
+++ b/crazy_functions/函数动态生成.py
@@ -15,7 +15,7 @@ Testing:


 from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, is_the_upload_folder
-from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_lastest_msg
+from toolbox import promote_file_to_downloadzone, get_log_folder, update_ui_latest_msg
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_plugin_arg
 from crazy_functions.crazy_utils import input_clipping, try_install_deps
 from crazy_functions.gen_fns.gen_fns_shared import is_function_successfully_generated
@@ -27,7 +27,7 @@ import time
 import glob
 import multiprocessing

-templete = """
+template = """
 ```python
 import ...  # Put dependencies here, e.g. import numpy as np.

@@ -77,10 +77,10 @@ def gpt_interact_multi_step(txt, file_type, llm_kwargs, chatbot, history):

    # 第二步
    prompt_compose = [
-        "If previous stage is successful, rewrite the function you have just written to satisfy following templete: \n",
-        templete
+        "If previous stage is successful, rewrite the function you have just written to satisfy following template: \n",
+        template
    ]
-    i_say = "".join(prompt_compose); inputs_show_user = "If previous stage is successful, rewrite the function you have just written to satisfy executable templete. "
+    i_say = "".join(prompt_compose); inputs_show_user = "If previous stage is successful, rewrite the function you have just written to satisfy executable template. "
    gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
        inputs=i_say, inputs_show_user=inputs_show_user,
        llm_kwargs=llm_kwargs, chatbot=chatbot, history=history,
@@ -164,18 +164,18 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
    if get_plugin_arg(plugin_kwargs, key="file_path_arg", default=False):
        file_path = get_plugin_arg(plugin_kwargs, key="file_path_arg", default=None)
        file_list.append(file_path)
-        yield from update_ui_lastest_msg(f"当前文件: {file_path}", chatbot, history, 1)
+        yield from update_ui_latest_msg(f"当前文件: {file_path}", chatbot, history, 1)
    elif have_any_recent_upload_files(chatbot):
        file_dir = get_recent_file_prompt_support(chatbot)
        file_list = glob.glob(os.path.join(file_dir, '**/*'), recursive=True)
-        yield from update_ui_lastest_msg(f"当前文件处理列表: {file_list}", chatbot, history, 1)
+        yield from update_ui_latest_msg(f"当前文件处理列表: {file_list}", chatbot, history, 1)
    else:
        chatbot.append(["文件检索", "没有发现任何近期上传的文件。"])
-        yield from update_ui_lastest_msg("没有发现任何近期上传的文件。", chatbot, history, 1)
+        yield from update_ui_latest_msg("没有发现任何近期上传的文件。", chatbot, history, 1)
        return  # 2. 如果没有文件
    if len(file_list) == 0:
        chatbot.append(["文件检索", "没有发现任何近期上传的文件。"])
-        yield from update_ui_lastest_msg("没有发现任何近期上传的文件。", chatbot, history, 1)
+        yield from update_ui_latest_msg("没有发现任何近期上传的文件。", chatbot, history, 1)
        return  # 2. 如果没有文件

    # 读取文件
@@ -183,7 +183,7 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_

    # 粗心检查
    if is_the_upload_folder(txt):
-        yield from update_ui_lastest_msg(f"请在输入框内填写需求, 然后再次点击该插件! 至于您的文件，不用担心, 文件路径 {txt} 已经被记忆. ", chatbot, history, 1)
+        yield from update_ui_latest_msg(f"请在输入框内填写需求, 然后再次点击该插件! 至于您的文件，不用担心, 文件路径 {txt} 已经被记忆. ", chatbot, history, 1)
        return

    # 开始干正事
@@ -195,7 +195,7 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
            code, installation_advance, txt, file_type, llm_kwargs, chatbot, history = \
                yield from gpt_interact_multi_step(txt, file_type, llm_kwargs, chatbot, history)
            chatbot.append(["代码生成阶段结束", ""])
-            yield from update_ui_lastest_msg(f"正在验证上述代码的有效性 ...", chatbot, history, 1)
+            yield from update_ui_latest_msg(f"正在验证上述代码的有效性 ...", chatbot, history, 1)
            # ⭐ 分离代码块
            code = get_code_block(code)
            # ⭐ 检查模块
@@ -206,11 +206,11 @@ def 函数动态生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
            if not traceback: traceback = trimmed_format_exc()
        # 处理异常
        if not traceback: traceback = trimmed_format_exc()
-        yield from update_ui_lastest_msg(f"第 {j+1}/{MAX_TRY} 次代码生成尝试, 失败了~ 别担心, 我们5秒后再试一次... \n\n此次我们的错误追踪是\n```\n{traceback}\n```\n", chatbot, history, 5)
+        yield from update_ui_latest_msg(f"第 {j+1}/{MAX_TRY} 次代码生成尝试, 失败了~ 别担心, 我们5秒后再试一次... \n\n此次我们的错误追踪是\n```\n{traceback}\n```\n", chatbot, history, 5)

    # 代码生成结束, 开始执行
    TIME_LIMIT = 15
-    yield from update_ui_lastest_msg(f"开始创建新进程并执行代码! 时间限制 {TIME_LIMIT} 秒. 请等待任务完成... ", chatbot, history, 1)
+    yield from update_ui_latest_msg(f"开始创建新进程并执行代码! 时间限制 {TIME_LIMIT} 秒. 请等待任务完成... ", chatbot, history, 1)
    manager = multiprocessing.Manager()
    return_dict = manager.dict()

--- a/crazy_functions/多智能体.py
+++ b/crazy_functions/多智能体.py
@@ -8,7 +8,7 @@

 import time
 from toolbox import CatchException, update_ui, gen_time_str, trimmed_format_exc, ProxyNetworkActivate
-from toolbox import get_conf, select_api_key, update_ui_lastest_msg, Singleton
+from toolbox import get_conf, select_api_key, update_ui_latest_msg, Singleton
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_plugin_arg
 from crazy_functions.crazy_utils import input_clipping, try_install_deps
 from crazy_functions.agent_fns.persistent import GradioMultiuserManagerForPersistentClasses
--- a/crazy_functions/批量翻译PDF文档_NOUGAT.py
+++ b/crazy_functions/批量翻译PDF文档_NOUGAT.py
@@ -1,5 +1,5 @@
 from toolbox import CatchException, report_exception, get_log_folder, gen_time_str
-from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion
+from toolbox import update_ui, promote_file_to_downloadzone, update_ui_latest_msg, disable_auto_promotion
 from toolbox import write_history_to_file, promote_file_to_downloadzone
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
 from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
--- a/crazy_functions/数学动画生成manim.py
+++ b/crazy_functions/数学动画生成manim.py
@@ -166,7 +166,7 @@ class PointWithTrace(Scene):

 ```

-# do not use get_graph, this funciton is deprecated
+# do not use get_graph, this function is deprecated

 class ExampleFunctionGraph(Scene):
    def construct(self):
--- a/crazy_functions/生成多种Mermaid图表.py
+++ b/crazy_functions/生成多种Mermaid图表.py
@@ -324,16 +324,16 @@ def 生成多种Mermaid图表(
    if os.path.exists(txt):  # 如输入区无内容则直接解析历史记录
        from crazy_functions.pdf_fns.parse_word import extract_text_from_files

-        file_exist, final_result, page_one, file_manifest, excption = (
+        file_exist, final_result, page_one, file_manifest, exception = (
            extract_text_from_files(txt, chatbot, history)
        )
    else:
        file_exist = False
-        excption = ""
+        exception = ""
        file_manifest = []

-    if excption != "":
-        if excption == "word":
+    if exception != "":
+        if exception == "word":
            report_exception(
                chatbot,
                history,
@@ -341,7 +341,7 @@ def 生成多种Mermaid图表(
                b=f"找到了.doc文件，但是该文件格式不被支持，请先转化为.docx格式。",
            )

-        elif excption == "pdf":
+        elif exception == "pdf":
            report_exception(
                chatbot,
                history,
@@ -349,7 +349,7 @@ def 生成多种Mermaid图表(
                b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pymupdf```。",
            )

-        elif excption == "word_pip":
+        elif exception == "word_pip":
            report_exception(
                chatbot,
                history,
--- a/crazy_functions/知识库问答.py
+++ b/crazy_functions/知识库问答.py
@@ -1,4 +1,4 @@
-from toolbox import CatchException, update_ui, ProxyNetworkActivate, update_ui_lastest_msg, get_log_folder, get_user
+from toolbox import CatchException, update_ui, ProxyNetworkActivate, update_ui_latest_msg, get_log_folder, get_user
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, get_files_from_everything
 from loguru import logger
 install_msg ="""
@@ -42,7 +42,7 @@ def 知识库文件注入(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        # from crazy_functions.crazy_utils import try_install_deps
        # try_install_deps(['zh_langchain==0.2.1', 'pypinyin'], reload_m=['pypinyin', 'zh_langchain'])
-        # yield from update_ui_lastest_msg("安装完成，您可以再次重试。", chatbot, history)
+        # yield from update_ui_latest_msg("安装完成，您可以再次重试。", chatbot, history)
        return

    # < --------------------读取文件--------------- >
@@ -95,7 +95,7 @@ def 读取知识库作答(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
        # from crazy_functions.crazy_utils import try_install_deps
        # try_install_deps(['zh_langchain==0.2.1', 'pypinyin'], reload_m=['pypinyin', 'zh_langchain'])
-        # yield from update_ui_lastest_msg("安装完成，您可以再次重试。", chatbot, history)
+        # yield from update_ui_latest_msg("安装完成，您可以再次重试。", chatbot, history)
        return

    # < -------------------  --------------- >
--- a/crazy_functions/虚空终端.py
+++ b/crazy_functions/虚空终端.py
@@ -47,7 +47,7 @@ explain_msg = """
 from pydantic import BaseModel, Field
 from typing import List
 from toolbox import CatchException, update_ui, is_the_upload_folder
-from toolbox import update_ui_lastest_msg, disable_auto_promotion
+from toolbox import update_ui_latest_msg, disable_auto_promotion
 from request_llms.bridge_all import predict_no_ui_long_connection
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
 from crazy_functions.crazy_utils import input_clipping
@@ -113,19 +113,19 @@ def 虚空终端(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt
    # 用简单的关键词检测用户意图
    is_certain, _ = analyze_intention_with_simple_rules(txt)
    if is_the_upload_folder(txt):
-        state.set_state(chatbot=chatbot, key='has_provided_explaination', value=False)
+        state.set_state(chatbot=chatbot, key='has_provided_explanation', value=False)
        appendix_msg = "\n\n**很好，您已经上传了文件**，现在请您描述您的需求。"

-    if is_certain or (state.has_provided_explaination):
+    if is_certain or (state.has_provided_explanation):
        # 如果意图明确，跳过提示环节
-        state.set_state(chatbot=chatbot, key='has_provided_explaination', value=True)
+        state.set_state(chatbot=chatbot, key='has_provided_explanation', value=True)
        state.unlock_plugin(chatbot=chatbot)
        yield from update_ui(chatbot=chatbot, history=history)
        yield from 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
        return
    else:
        # 如果意图模糊，提示
-        state.set_state(chatbot=chatbot, key='has_provided_explaination', value=True)
+        state.set_state(chatbot=chatbot, key='has_provided_explanation', value=True)
        state.lock_plugin(chatbot=chatbot)
        chatbot.append(("虚空终端状态:", explain_msg+appendix_msg))
        yield from update_ui(chatbot=chatbot, history=history)
@@ -141,7 +141,7 @@ def 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
    # ⭐ ⭐ ⭐ 分析用户意图
    is_certain, user_intention = analyze_intention_with_simple_rules(txt)
    if not is_certain:
-        yield from update_ui_lastest_msg(
+        yield from update_ui_latest_msg(
            lastmsg=f"正在执行任务: {txt}\n\n分析用户意图中", chatbot=chatbot, history=history, delay=0)
        gpt_json_io = GptJsonIO(UserIntention)
        rf_req = "\nchoose from ['ModifyConfiguration', 'ExecutePlugin', 'Chat']"
@@ -154,13 +154,13 @@ def 虚空终端主路由(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
            user_intention = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
            lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 意图={explain_intention_to_user[user_intention.intention_type]}",
        except JsonStringError as e:
-            yield from update_ui_lastest_msg(
+            yield from update_ui_latest_msg(
                lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 失败 当前语言模型（{llm_kwargs['llm_model']}）不能理解您的意图", chatbot=chatbot, history=history, delay=0)
            return
    else:
        pass

-    yield from update_ui_lastest_msg(
+    yield from update_ui_latest_msg(
        lastmsg=f"正在执行任务: {txt}\n\n用户意图理解: 意图={explain_intention_to_user[user_intention.intention_type]}",
        chatbot=chatbot, history=history, delay=0)

--- a/crazy_functions/语音助手.py
+++ b/crazy_functions/语音助手.py
@@ -42,7 +42,7 @@ class AsyncGptTask():
            MAX_TOKEN_ALLO = 2560
            i_say, history = input_clipping(i_say, history, max_token_limit=MAX_TOKEN_ALLO)
            gpt_say_partial = predict_no_ui_long_connection(inputs=i_say, llm_kwargs=llm_kwargs, history=history, sys_prompt=sys_prompt,
-                                                            observe_window=observe_window[index], console_slience=True)
+                                                            observe_window=observe_window[index], console_silence=True)
        except ConnectionAbortedError as token_exceed_err:
            logger.error('至少一个线程任务Token溢出而失败', e)
        except Exception as e:
--- a/crazy_functions/谷歌检索小助手.py
+++ b/crazy_functions/谷歌检索小助手.py
@@ -1,6 +1,6 @@
 from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
 from toolbox import CatchException, report_exception, promote_file_to_downloadzone
-from toolbox import update_ui, update_ui_lastest_msg, disable_auto_promotion, write_history_to_file
+from toolbox import update_ui, update_ui_latest_msg, disable_auto_promotion, write_history_to_file
 import logging
 import requests
 import time
@@ -156,7 +156,7 @@ def 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
    history = []
    meta_paper_info_list = yield from get_meta_information(txt, chatbot, history)
    if len(meta_paper_info_list) == 0:
-        yield from update_ui_lastest_msg(lastmsg='获取文献失败，可能触发了google反爬虫机制。',chatbot=chatbot, history=history, delay=0)
+        yield from update_ui_latest_msg(lastmsg='获取文献失败，可能触发了google反爬虫机制。',chatbot=chatbot, history=history, delay=0)
        return
    batchsize = 5
    for batch in range(math.ceil(len(meta_paper_info_list)/batchsize)):
--- a/docs/translate_english.json
+++ b/docs/translate_english.json
@@ -1141,7 +1141,7 @@
    "内容太长了都会触发token数量溢出的错误": "An error of token overflow will be triggered if the content is too long",
    "chatbot 为WebUI中显示的对话列表": "chatbot is the conversation list displayed in WebUI",
    "修改它": "Modify it",
-    "然后yeild出去": "Then yield it out",
+    "然后yield出去": "Then yield it out",
    "可以直接修改对话界面内容": "You can directly modify the conversation interface content",
    "additional_fn代表点击的哪个按钮": "additional_fn represents which button is clicked",
    "按钮见functional.py": "See functional.py for buttons",
@@ -1732,7 +1732,7 @@
    "或者重启之后再度尝试": "Or try again after restarting",
    "免费": "Free",
    "仅在Windows系统进行了测试": "Tested only on Windows system",
-    "欢迎加REAME中的QQ联系开发者": "Feel free to contact the developer via QQ in REAME",
+    "欢迎加README中的QQ联系开发者": "Feel free to contact the developer via QQ in README",
    "当前知识库内的有效文件": "Valid files in the current knowledge base",
    "您可以到Github Issue区": "You can go to the Github Issue area",
    "刷新Gradio前端界面": "Refresh the Gradio frontend interface",
@@ -1759,7 +1759,7 @@
    "报错信息如下. 如果是与网络相关的问题": "Error message as follows. If it is related to network issues",
    "功能描述": "Function description",
    "禁止移除或修改此警告": "Removal or modification of this warning is prohibited",
-    "Arixv翻译": "Arixv translation",
+    "ArXiv翻译": "ArXiv translation",
    "读取优先级": "Read priority",
    "包含documentclass关键字": "Contains the documentclass keyword",
    "根据文本使用GPT模型生成相应的图像": "Generate corresponding images using GPT model based on the text",
@@ -1998,7 +1998,7 @@
    "开始最终总结": "Start final summary",
    "openai的官方KEY需要伴随组织编码": "Openai's official KEY needs to be accompanied by organizational code",
    "将子线程的gpt结果写入chatbot": "Write the GPT result of the sub-thread into the chatbot",
-    "Arixv论文精细翻译": "Fine translation of Arixv paper",
+    "ArXiv论文精细翻译": "Fine translation of ArXiv paper",
    "开始接收chatglmft的回复": "Start receiving replies from chatglmft",
    "请先将.doc文档转换为.docx文档": "Please convert .doc documents to .docx documents first",
    "避免多用户干扰": "Avoid multiple user interference",
@@ -2360,7 +2360,7 @@
    "请在config.py中设置ALLOW_RESET_CONFIG=True后重启软件": "Please set ALLOW_RESET_CONFIG=True in config.py and restart the software",
    "按照自然语言描述生成一个动画 | 输入参数是一段话": "Generate an animation based on natural language description | Input parameter is a sentence",
    "你的hf用户名如qingxu98": "Your hf username is qingxu98",
-    "Arixv论文精细翻译 | 输入参数arxiv论文的ID": "Fine translation of Arixv paper | Input parameter is the ID of arxiv paper",
+    "ArXiv论文精细翻译 | 输入参数arxiv论文的ID": "Fine translation of ArXiv paper | Input parameter is the ID of arxiv paper",
    "无法获取 abstract": "Unable to retrieve abstract",
    "尽可能地仅用一行命令解决我的要求": "Try to solve my request using only one command",
    "提取插件参数": "Extract plugin parameters",
--- a/docs/translate_japanese.json
+++ b/docs/translate_japanese.json
@@ -753,7 +753,7 @@
    "手动指定和筛选源代码文件类型": "ソースコードファイルタイプを手動で指定およびフィルタリングする",
    "更多函数插件": "その他の関数プラグイン",
    "看门狗的耐心": "監視犬の忍耐力",
-    "然后yeild出去": "そして出力する",
+    "然后yield出去": "そして出力する",
    "拆分过长的IPynb文件": "長すぎるIPynbファイルを分割する",
    "1. 把input的余量留出来": "1. 入力の余裕を残す",
    "请求超时": "リクエストがタイムアウトしました",
@@ -1803,7 +1803,7 @@
    "默认值为1000": "デフォルト値は1000です",
    "写出文件": "ファイルに書き出す",
    "生成的视频文件路径": "生成されたビデオファイルのパス",
-    "Arixv论文精细翻译": "Arixv論文の詳細な翻訳",
+    "ArXiv论文精细翻译": "ArXiv論文の詳細な翻訳",
    "用latex编译为PDF对修正处做高亮": "LaTeXでコンパイルしてPDFに修正をハイライトする",
    "点击“停止”键可终止程序": "「停止」ボタンをクリックしてプログラムを終了できます",
    "否则将导致每个人的Claude问询历史互相渗透": "さもないと、各人のClaudeの問い合わせ履歴が相互に侵入します",
@@ -1987,7 +1987,7 @@
    "前面是中文逗号": "前面是中文逗号",
    "的依赖": "的依赖",
    "材料如下": "材料如下",
-    "欢迎加REAME中的QQ联系开发者": "欢迎加REAME中的QQ联系开发者",
+    "欢迎加README中的QQ联系开发者": "欢迎加README中的QQ联系开发者",
    "开始下载": "開始ダウンロード",
    "100字以内": "100文字以内",
    "创建request": "リクエストの作成",
--- a/docs/translate_traditionalchinese.json
+++ b/docs/translate_traditionalchinese.json
@@ -771,7 +771,7 @@
    "查询代理的地理位置": "查詢代理的地理位置",
    "是否在输入过长时": "是否在輸入過長時",
    "chatGPT分析报告": "chatGPT分析報告",
-    "然后yeild出去": "然後yield出去",
+    "然后yield出去": "然後yield出去",
    "用户取消了程序": "使用者取消了程式",
    "琥珀色": "琥珀色",
    "这里是特殊函数插件的高级参数输入区": "這裡是特殊函數插件的高級參數輸入區",
@@ -1587,7 +1587,7 @@
    "否则将导致每个人的Claude问询历史互相渗透": "否則將導致每個人的Claude問詢歷史互相滲透",
    "提问吧! 但注意": "提問吧！但注意",
    "待处理的word文档路径": "待處理的word文檔路徑",
-    "欢迎加REAME中的QQ联系开发者": "歡迎加REAME中的QQ聯繫開發者",
+    "欢迎加README中的QQ联系开发者": "歡迎加README中的QQ聯繫開發者",
    "建议暂时不要使用": "建議暫時不要使用",
    "Latex没有安装": "Latex沒有安裝",
    "在这里放一些网上搜集的demo": "在這裡放一些網上搜集的demo",
@@ -1989,7 +1989,7 @@
    "请耐心等待": "請耐心等待",
    "在执行完成之后": "在執行完成之後",
    "参数简单": "參數簡單",
-    "Arixv论文精细翻译": "Arixv論文精細翻譯",
+    "ArXiv论文精细翻译": "ArXiv論文精細翻譯",
    "备份和下载": "備份和下載",
    "当前报错的latex代码处于第": "當前報錯的latex代碼處於第",
    "Markdown翻译": "Markdown翻譯",
--- a/main.py
+++ b/main.py
@@ -1,10 +1,7 @@
 import os; os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染

 help_menu_description = \
-"""Github源代码开源和更新[地址🚀](https://github.com/binary-husky/gpt_academic),
-感谢热情的[开发者们❤️](https://github.com/binary-husky/gpt_academic/graphs/contributors).
-</br></br>常见问题请查阅[项目Wiki](https://github.com/binary-husky/gpt_academic/wiki),
-如遇到Bug请前往[Bug反馈](https://github.com/binary-husky/gpt_academic/issues).
+"""
 </br></br>普通对话使用说明: 1. 输入问题; 2. 点击提交
 </br></br>基础功能区使用说明: 1. 输入文本; 2. 点击任意基础功能区按钮
 </br></br>函数插件区使用说明: 1. 输入路径/问题, 或者上传文件; 2. 点击任意函数插件区按钮
@@ -57,7 +54,7 @@ def main():
    # 如果WEB_PORT是-1, 则随机选取WEB端口
    PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
    from check_proxy import get_current_version
-    from themes.theme import adjust_theme, advanced_css, theme_declaration, js_code_clear, js_code_show_or_hide, js_code_show_or_hide_group2
+    from themes.theme import adjust_theme, advanced_css, theme_declaration, js_code_clear, js_code_show_or_hide
    from themes.theme import js_code_for_toggle_darkmode
    from themes.theme import load_dynamic_theme, to_cookie_str, from_cookie_str, assign_user_uuid
    title_html = f"<h1 align=\"center\">GPT 学术优化 {get_current_version()}</h1>{theme_declaration}"
@@ -210,7 +207,7 @@ def main():
            ret.update({area_customize: gr.update(visible=("自定义菜单" in a))})
            return ret
        checkboxes_2.select(fn_area_visibility_2, [checkboxes_2], [area_customize] )
-        checkboxes_2.select(None, [checkboxes_2], None, _js=js_code_show_or_hide_group2)
+        checkboxes_2.select(None, [checkboxes_2], None, _js="""apply_checkbox_change_for_group2""")

        # 整理反复出现的控件句柄组合
        input_combo = [cookies, max_length_sl, md_dropdown, txt, txt2, top_p, temperature, chatbot, history, system_prompt, plugin_advanced_arg]
--- a/request_llms/bridge_all.py
+++ b/request_llms/bridge_all.py
@@ -1072,7 +1072,7 @@ if "zhipuai" in AVAIL_LLM_MODELS:   # zhipuai 是glm-4的别名，向后兼容
        })
    except:
        logger.error(trimmed_format_exc())
-# -=-=-=-=-=-=- 幻方-深度求索大模型 -=-=-=-=-=-=-
+# -=-=-=-=-=-=- 幻方-深度求索本地大模型 -=-=-=-=-=-=-
 if "deepseekcoder" in AVAIL_LLM_MODELS:   # deepseekcoder
    try:
        from .bridge_deepseekcoder import predict_no_ui_long_connection as deepseekcoder_noui
@@ -1265,9 +1265,9 @@ def LLM_CATCH_EXCEPTION(f):
    """
    装饰器函数，将错误显示出来
    """
-    def decorated(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list, console_slience:bool):
+    def decorated(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list, console_silence:bool):
        try:
-            return f(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience)
+            return f(inputs, llm_kwargs, history, sys_prompt, observe_window, console_silence)
        except Exception as e:
            tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n'
            observe_window[0] = tb_str
@@ -1275,7 +1275,7 @@ def LLM_CATCH_EXCEPTION(f):
    return decorated


-def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list=[], console_slience:bool=False):
+def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys_prompt:str, observe_window:list=[], console_silence:bool=False):
    """
    发送至LLM，等待回复，一次性完成，不显示中间过程。但内部（尽可能地）用stream的方法避免中途网线被掐。
    inputs：
@@ -1297,7 +1297,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys
    if '&' not in model:
        # 如果只询问“一个”大语言模型（多数情况）：
        method = model_info[model]["fn_without_ui"]
-        return method(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience)
+        return method(inputs, llm_kwargs, history, sys_prompt, observe_window, console_silence)
    else:
        # 如果同时询问“多个”大语言模型，这个稍微啰嗦一点，但思路相同，您不必读这个else分支
        executor = ThreadPoolExecutor(max_workers=4)
@@ -1314,7 +1314,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list, sys
            method = model_info[model]["fn_without_ui"]
            llm_kwargs_feedin = copy.deepcopy(llm_kwargs)
            llm_kwargs_feedin['llm_model'] = model
-            future = executor.submit(LLM_CATCH_EXCEPTION(method), inputs, llm_kwargs_feedin, history, sys_prompt, window_mutex[i], console_slience)
+            future = executor.submit(LLM_CATCH_EXCEPTION(method), inputs, llm_kwargs_feedin, history, sys_prompt, window_mutex[i], console_silence)
            futures.append(future)

        def mutex_manager(window_mutex, observe_window):
--- a/request_llms/bridge_chatglmft.py
+++ b/request_llms/bridge_chatglmft.py
@@ -139,7 +139,7 @@ global glmft_handle
 glmft_handle = None
 #################################################################################
 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        多线程方法
        函数的说明请见 request_llms/bridge_all.py
--- a/request_llms/bridge_chatgpt.py
+++ b/request_llms/bridge_chatgpt.py
@@ -125,7 +125,7 @@ def verify_endpoint(endpoint):
        raise ValueError("Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:" + endpoint)
    return endpoint

-def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_slience:bool=False):
+def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_silence:bool=False):
    """
    发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。
    inputs：
@@ -203,7 +203,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[],
        if (not has_content) and (not has_role): continue # raise RuntimeError("发现不标准的第三方接口："+delta)
        if has_content: # has_role = True/False
            result += delta["content"]
-            if not console_slience: print(delta["content"], end='')
+            if not console_silence: print(delta["content"], end='')
            if observe_window is not None:
                # 观测窗，把已经获取的数据显示出去
                if len(observe_window) >= 1:
@@ -231,7 +231,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
    inputs 是本次问询的输入
    top_p, temperature是chatGPT的内部调优参数
    history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-    chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
+    chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
    additional_fn代表点击的哪个按钮，按钮见functional.py
    """
    from request_llms.bridge_all import model_info
--- a/request_llms/bridge_chatgpt_vision.py
+++ b/request_llms/bridge_chatgpt_vision.py
@@ -16,7 +16,7 @@ import base64
 import glob
 from loguru import logger
 from toolbox import get_conf, update_ui, is_any_api_key, select_api_key, what_keys, clip_history, trimmed_format_exc, is_the_upload_folder, \
-    update_ui_lastest_msg, get_max_token, encode_image, have_any_recent_upload_image_files, log_chat
+    update_ui_latest_msg, get_max_token, encode_image, have_any_recent_upload_image_files, log_chat


 proxies, TIMEOUT_SECONDS, MAX_RETRY, API_ORG, AZURE_CFG_ARRAY = \
@@ -67,7 +67,7 @@ def verify_endpoint(endpoint):
    """
    return endpoint

-def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
+def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_silence=False):
    raise NotImplementedError


@@ -183,7 +183,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
                    if ('data: [DONE]' in chunk_decoded) or (len(chunkjson['choices'][0]["delta"]) == 0):
                        # 判定为数据流的结束，gpt_replying_buffer也写完了
                        lastmsg = chatbot[-1][-1] + f"\n\n\n\n「{llm_kwargs['llm_model']}调用结束，该模型不具备上下文对话能力，如需追问，请及时切换模型。」"
-                        yield from update_ui_lastest_msg(lastmsg, chatbot, history, delay=1)
+                        yield from update_ui_latest_msg(lastmsg, chatbot, history, delay=1)
                        log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_replying_buffer)
                        break
                    # 处理数据流的主体
--- a/request_llms/bridge_claude.py
+++ b/request_llms/bridge_claude.py
@@ -69,7 +69,7 @@ def decode_chunk(chunk):
    return need_to_pass, chunkjson, is_last_chunk


-def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
+def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_silence=False):
    """
    发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。
    inputs：
@@ -151,7 +151,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
    inputs 是本次问询的输入
    top_p, temperature是chatGPT的内部调优参数
    history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-    chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
+    chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
    additional_fn代表点击的哪个按钮，按钮见functional.py
    """
    if inputs == "":     inputs = "空空如也的输入栏"
--- a/request_llms/bridge_cohere.py
+++ b/request_llms/bridge_cohere.py
@@ -68,7 +68,7 @@ def verify_endpoint(endpoint):
        raise ValueError("Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:" + endpoint)
    return endpoint

-def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_slience:bool=False):
+def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_silence:bool=False):
    """
    发送，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。
    inputs：
@@ -111,7 +111,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[],
        if chunkjson['event_type'] == 'stream-start': continue
        if chunkjson['event_type'] == 'text-generation':
            result += chunkjson["text"]
-            if not console_slience: print(chunkjson["text"], end='')
+            if not console_silence: print(chunkjson["text"], end='')
            if observe_window is not None:
                # 观测窗，把已经获取的数据显示出去
                if len(observe_window) >= 1:
@@ -132,7 +132,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
    inputs 是本次问询的输入
    top_p, temperature是chatGPT的内部调优参数
    history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-    chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
+    chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
    additional_fn代表点击的哪个按钮，按钮见functional.py
    """
    # if is_any_api_key(inputs):
--- a/request_llms/bridge_deepseekcoder.py
+++ b/request_llms/bridge_deepseekcoder.py
@@ -6,7 +6,6 @@ from toolbox import get_conf
 from request_llms.local_llm_class import LocalLLMHandle, get_local_llm_predict_fns
 from threading import Thread
 from loguru import logger
-import torch
 import os

 def download_huggingface_model(model_name, max_retry, local_dir):
@@ -29,6 +28,7 @@ class GetCoderLMHandle(LocalLLMHandle):
        self.cmd_to_install = cmd_to_install

    def load_model_and_tokenizer(self):
+        import torch
        # 🏃‍♂️🏃‍♂️🏃‍♂️ 子进程执行
        with ProxyNetworkActivate('Download_LLM'):
            from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer
--- a/request_llms/bridge_google_gemini.py
+++ b/request_llms/bridge_google_gemini.py
@@ -8,7 +8,7 @@ import os
 import time
 from request_llms.com_google import GoogleChatInit
 from toolbox import ChatBotWithCookies
-from toolbox import get_conf, update_ui, update_ui_lastest_msg, have_any_recent_upload_image_files, trimmed_format_exc, log_chat, encode_image
+from toolbox import get_conf, update_ui, update_ui_latest_msg, have_any_recent_upload_image_files, trimmed_format_exc, log_chat, encode_image

 proxies, TIMEOUT_SECONDS, MAX_RETRY = get_conf('proxies', 'TIMEOUT_SECONDS', 'MAX_RETRY')
 timeout_bot_msg = '[Local Message] Request timeout. Network error. Please check proxy settings in config.py.' + \
@@ -16,7 +16,7 @@ timeout_bot_msg = '[Local Message] Request timeout. Network error. Please check


 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=[],
-                                  console_slience:bool=False):
+                                  console_silence:bool=False):
    # 检查API_KEY
    if get_conf("GEMINI_API_KEY") == "":
        raise ValueError(f"请配置 GEMINI_API_KEY。")
@@ -60,7 +60,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith

    # 检查API_KEY
    if get_conf("GEMINI_API_KEY") == "":
-        yield from update_ui_lastest_msg(f"请配置 GEMINI_API_KEY。", chatbot=chatbot, history=history, delay=0)
+        yield from update_ui_latest_msg(f"请配置 GEMINI_API_KEY。", chatbot=chatbot, history=history, delay=0)
        return

    # 适配润色区域
--- a/request_llms/bridge_jittorllms_llama.py
+++ b/request_llms/bridge_jittorllms_llama.py
@@ -55,7 +55,7 @@ class GetGLMHandle(Process):
                if self.jittorllms_model is None:
                    device = get_conf('LOCAL_MODEL_DEVICE')
                    from .jittorllms.models import get_model
-                    # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
+                    # available_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
                    args_dict = {'model': 'llama'}
                    print('self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))')
                    self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))
@@ -107,7 +107,7 @@ global llama_glm_handle
 llama_glm_handle = None
 #################################################################################
 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        多线程方法
        函数的说明请见 request_llms/bridge_all.py
--- a/request_llms/bridge_jittorllms_pangualpha.py
+++ b/request_llms/bridge_jittorllms_pangualpha.py
@@ -55,7 +55,7 @@ class GetGLMHandle(Process):
                if self.jittorllms_model is None:
                    device = get_conf('LOCAL_MODEL_DEVICE')
                    from .jittorllms.models import get_model
-                    # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
+                    # available_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
                    args_dict = {'model': 'pangualpha'}
                    print('self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))')
                    self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))
@@ -107,7 +107,7 @@ global pangu_glm_handle
 pangu_glm_handle = None
 #################################################################################
 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        多线程方法
        函数的说明请见 request_llms/bridge_all.py
--- a/request_llms/bridge_jittorllms_rwkv.py
+++ b/request_llms/bridge_jittorllms_rwkv.py
@@ -55,7 +55,7 @@ class GetGLMHandle(Process):
                if self.jittorllms_model is None:
                    device = get_conf('LOCAL_MODEL_DEVICE')
                    from .jittorllms.models import get_model
-                    # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
+                    # available_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
                    args_dict = {'model': 'chatrwkv'}
                    print('self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))')
                    self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))
@@ -107,7 +107,7 @@ global rwkv_glm_handle
 rwkv_glm_handle = None
 #################################################################################
 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        多线程方法
        函数的说明请见 request_llms/bridge_all.py
--- a/request_llms/bridge_llama2.py
+++ b/request_llms/bridge_llama2.py
@@ -46,8 +46,8 @@ class GetLlamaHandle(LocalLLMHandle):
            top_p = kwargs['top_p']
            temperature = kwargs['temperature']
            history = kwargs['history']
-            console_slience = kwargs.get('console_slience', True)
-            return query, max_length, top_p, temperature, history, console_slience
+            console_silence = kwargs.get('console_silence', True)
+            return query, max_length, top_p, temperature, history, console_silence

        def convert_messages_to_prompt(query, history):
            prompt = ""
@@ -57,7 +57,7 @@ class GetLlamaHandle(LocalLLMHandle):
            prompt += f"\n[INST]{query}[/INST]"
            return prompt

-        query, max_length, top_p, temperature, history, console_slience = adaptor(kwargs)
+        query, max_length, top_p, temperature, history, console_silence = adaptor(kwargs)
        prompt = convert_messages_to_prompt(query, history)
        # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=-
        # code from transformers.llama
@@ -72,9 +72,9 @@ class GetLlamaHandle(LocalLLMHandle):
        generated_text = ""
        for new_text in streamer:
            generated_text += new_text
-            if not console_slience: print(new_text, end='')
+            if not console_silence: print(new_text, end='')
            yield generated_text.lstrip(prompt_tk_back).rstrip("</s>")
-        if not console_slience: print()
+        if not console_silence: print()
        # =-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=-=-

    def try_to_import_special_deps(self, **kwargs):
--- a/request_llms/bridge_moonshot.py
+++ b/request_llms/bridge_moonshot.py
@@ -169,7 +169,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
    log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=gpt_bro_result)

 def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None,
-                                  console_slience=False):
+                                  console_silence=False):
    gpt_bro_init = MoonShotInit()
    watch_dog_patience = 60  # 看门狗的耐心, 设置10秒即可
    stream_response = gpt_bro_init.generate_messages(inputs, llm_kwargs, history, sys_prompt, True)
--- a/request_llms/bridge_moss.py
+++ b/request_llms/bridge_moss.py
@@ -95,7 +95,7 @@ class GetGLMHandle(Process):
        - Its responses must not be vague, accusatory, rude, controversial, off-topic, or defensive.
        - It should avoid giving subjective opinions but rely on objective facts or phrases like \"in this context a human might say...\", \"some people might think...\", etc.
        - Its responses must also be positive, polite, interesting, entertaining, and engaging.
-        - It can provide additional relevant details to answer in-depth and comprehensively covering mutiple aspects.
+        - It can provide additional relevant details to answer in-depth and comprehensively covering multiple aspects.
        - It apologizes and accepts the user's suggestion if the user corrects the incorrect answer generated by MOSS.
        Capabilities and tools that MOSS can possess.
        """
@@ -172,7 +172,7 @@ global moss_handle
 moss_handle = None
 #################################################################################
 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        多线程方法
        函数的说明请见 request_llms/bridge_all.py
--- a/request_llms/bridge_newbingfree.py
+++ b/request_llms/bridge_newbingfree.py
@@ -209,7 +209,7 @@ def predict_no_ui_long_connection(
    history=[],
    sys_prompt="",
    observe_window=[],
-    console_slience=False,
+    console_silence=False,
 ):
    """
    多线程方法
--- a/request_llms/bridge_ollama.py
+++ b/request_llms/bridge_ollama.py
@@ -52,7 +52,7 @@ def decode_chunk(chunk):
        pass
    return chunk_decoded, chunkjson, is_last_chunk

-def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
+def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_silence=False):
    """
    发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。
    inputs：
@@ -99,7 +99,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="",
                    logger.info(f'[response] {result}')
                    break
                result += chunkjson['message']["content"]
-                if not console_slience: print(chunkjson['message']["content"], end='')
+                if not console_silence: print(chunkjson['message']["content"], end='')
                if observe_window is not None:
                    # 观测窗，把已经获取的数据显示出去
                    if len(observe_window) >= 1:
@@ -124,7 +124,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
    inputs 是本次问询的输入
    top_p, temperature是chatGPT的内部调优参数
    history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-    chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
+    chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
    additional_fn代表点击的哪个按钮，按钮见functional.py
    """
    if inputs == "":     inputs = "空空如也的输入栏"
--- a/request_llms/bridge_openrouter.py
+++ b/request_llms/bridge_openrouter.py
@@ -119,7 +119,7 @@ def verify_endpoint(endpoint):
        raise ValueError("Endpoint不正确, 请检查AZURE_ENDPOINT的配置! 当前的Endpoint为:" + endpoint)
    return endpoint

-def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_slience:bool=False):
+def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=None, console_silence:bool=False):
    """
    发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。
    inputs：
@@ -188,7 +188,7 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[],
        if (not has_content) and (not has_role): continue # raise RuntimeError("发现不标准的第三方接口："+delta)
        if has_content: # has_role = True/False
            result += delta["content"]
-            if not console_slience: print(delta["content"], end='')
+            if not console_silence: print(delta["content"], end='')
            if observe_window is not None:
                # 观测窗，把已经获取的数据显示出去
                if len(observe_window) >= 1:
@@ -213,7 +213,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
    inputs 是本次问询的输入
    top_p, temperature是chatGPT的内部调优参数
    history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-    chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
+    chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
    additional_fn代表点击的哪个按钮，按钮见functional.py
    """
    from request_llms.bridge_all import model_info
@@ -512,7 +512,7 @@ def generate_payload(inputs:str, llm_kwargs:dict, history:list, system_prompt:st
        model, _ = read_one_api_model_name(model)
    if llm_kwargs['llm_model'].startswith('openrouter-'):
        model = llm_kwargs['llm_model'][len('openrouter-'):]
-        model= read_one_api_model_name(model)
+        model, _= read_one_api_model_name(model)
    if model == "gpt-3.5-random": # 随机选择, 绕过openai访问频率限制
        model = random.choice([
            "gpt-3.5-turbo",
--- a/request_llms/bridge_qianfan.py
+++ b/request_llms/bridge_qianfan.py
@@ -121,7 +121,7 @@ def generate_from_baidu_qianfan(inputs, llm_kwargs, history, system_prompt):


 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        ⭐多线程方法
        函数的说明请见 request_llms/bridge_all.py
--- a/request_llms/bridge_qwen.py
+++ b/request_llms/bridge_qwen.py
@@ -1,12 +1,12 @@
 import time
 import os
-from toolbox import update_ui, get_conf, update_ui_lastest_msg
+from toolbox import update_ui, get_conf, update_ui_latest_msg
 from toolbox import check_packages, report_exception, log_chat

 model_name = 'Qwen'

 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        ⭐多线程方法
        函数的说明请见 request_llms/bridge_all.py
@@ -35,13 +35,13 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
    try:
        check_packages(["dashscope"])
    except:
-        yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade dashscope```。",
+        yield from update_ui_latest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade dashscope```。",
                                         chatbot=chatbot, history=history, delay=0)
        return

    # 检查DASHSCOPE_API_KEY
    if get_conf("DASHSCOPE_API_KEY") == "":
-        yield from update_ui_lastest_msg(f"请配置 DASHSCOPE_API_KEY。",
+        yield from update_ui_latest_msg(f"请配置 DASHSCOPE_API_KEY。",
                                         chatbot=chatbot, history=history, delay=0)
        return

--- a/request_llms/bridge_skylark2.py
+++ b/request_llms/bridge_skylark2.py
@@ -1,5 +1,5 @@
 import time
-from toolbox import update_ui, get_conf, update_ui_lastest_msg
+from toolbox import update_ui, get_conf, update_ui_latest_msg
 from toolbox import check_packages, report_exception

 model_name = '云雀大模型'
@@ -10,7 +10,7 @@ def validate_key():
    return True

 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        ⭐ 多线程方法
        函数的说明请见 request_llms/bridge_all.py
@@ -42,12 +42,12 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
    try:
        check_packages(["zhipuai"])
    except:
-        yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。",
+        yield from update_ui_latest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。",
                                         chatbot=chatbot, history=history, delay=0)
        return

    if validate_key() is False:
-        yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置HUOSHAN_API_KEY", chatbot=chatbot, history=history, delay=0)
+        yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置HUOSHAN_API_KEY", chatbot=chatbot, history=history, delay=0)
        return

    if additional_fn is not None:
--- a/request_llms/bridge_spark.py
+++ b/request_llms/bridge_spark.py
@@ -2,7 +2,7 @@
 import time
 import threading
 import importlib
-from toolbox import update_ui, get_conf, update_ui_lastest_msg
+from toolbox import update_ui, get_conf, update_ui_latest_msg
 from multiprocessing import Process, Pipe

 model_name = '星火认知大模型'
@@ -14,7 +14,7 @@ def validate_key():
    return True

 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        ⭐多线程方法
        函数的说明请见 request_llms/bridge_all.py
@@ -43,7 +43,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
    yield from update_ui(chatbot=chatbot, history=history)

    if validate_key() is False:
-        yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置讯飞星火大模型的XFYUN_APPID, XFYUN_API_KEY, XFYUN_API_SECRET", chatbot=chatbot, history=history, delay=0)
+        yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置讯飞星火大模型的XFYUN_APPID, XFYUN_API_KEY, XFYUN_API_SECRET", chatbot=chatbot, history=history, delay=0)
        return

    if additional_fn is not None:
--- a/request_llms/bridge_stackclaude.py
+++ b/request_llms/bridge_stackclaude.py
@@ -225,7 +225,7 @@ def predict_no_ui_long_connection(
    history=[],
    sys_prompt="",
    observe_window=None,
-    console_slience=False,
+    console_silence=False,
 ):
    """
    多线程方法
--- a/request_llms/bridge_taichu.py
+++ b/request_llms/bridge_taichu.py
@@ -1,6 +1,6 @@
 import time
 import os
-from toolbox import update_ui, get_conf, update_ui_lastest_msg, log_chat
+from toolbox import update_ui, get_conf, update_ui_latest_msg, log_chat
 from toolbox import check_packages, report_exception, have_any_recent_upload_image_files
 from toolbox import ChatBotWithCookies

@@ -13,7 +13,7 @@ def validate_key():
    return True

 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        ⭐多线程方法
        函数的说明请见 request_llms/bridge_all.py
@@ -49,7 +49,7 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
    yield from update_ui(chatbot=chatbot, history=history)

    if validate_key() is False:
-        yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0)
+        yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0)
        return

    if additional_fn is not None:
--- a/request_llms/bridge_tgui.py
+++ b/request_llms/bridge_tgui.py
@@ -91,7 +91,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
        inputs 是本次问询的输入
        top_p, temperature是chatGPT的内部调优参数
        history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-        chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
+        chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
        additional_fn代表点击的哪个按钮，按钮见functional.py
    """
    if additional_fn is not None:
@@ -112,7 +112,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp


    mutable = ["", time.time()]
-    def run_coorotine(mutable):
+    def run_coroutine(mutable):
        async def get_result(mutable):
            # "tgui:galactica-1.3b@localhost:7860"

@@ -126,7 +126,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
                    break
        asyncio.run(get_result(mutable))

-    thread_listen = threading.Thread(target=run_coorotine, args=(mutable,), daemon=True)
+    thread_listen = threading.Thread(target=run_coroutine, args=(mutable,), daemon=True)
    thread_listen.start()

    while thread_listen.is_alive():
@@ -142,7 +142,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp



-def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience=False):
+def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, observe_window, console_silence=False):
    raw_input = "What I would like to say is the following: " + inputs
    prompt = raw_input
    tgui_say = ""
@@ -151,7 +151,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser
    addr, port = addr_port.split(':')


-    def run_coorotine(observe_window):
+    def run_coroutine(observe_window):
        async def get_result(observe_window):
            async for response in run(context=prompt, max_token=llm_kwargs['max_length'],
                                      temperature=llm_kwargs['temperature'],
@@ -162,6 +162,6 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser
                    print('exit when no listener')
                    break
        asyncio.run(get_result(observe_window))
-    thread_listen = threading.Thread(target=run_coorotine, args=(observe_window,))
+    thread_listen = threading.Thread(target=run_coroutine, args=(observe_window,))
    thread_listen.start()
    return observe_window[0]
--- a/request_llms/bridge_zhipu.py
+++ b/request_llms/bridge_zhipu.py
@@ -1,6 +1,6 @@
 import time
 import os
-from toolbox import update_ui, get_conf, update_ui_lastest_msg, log_chat
+from toolbox import update_ui, get_conf, update_ui_latest_msg, log_chat
 from toolbox import check_packages, report_exception, have_any_recent_upload_image_files
 from toolbox import ChatBotWithCookies

@@ -18,7 +18,7 @@ def make_media_input(inputs, image_paths):
    return inputs

 def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
-                                  observe_window:list=[], console_slience:bool=False):
+                                  observe_window:list=[], console_silence:bool=False):
    """
        ⭐多线程方法
        函数的说明请见 request_llms/bridge_all.py
@@ -57,12 +57,12 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWith
    try:
        check_packages(["zhipuai"])
    except:
-        yield from update_ui_lastest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。",
+        yield from update_ui_latest_msg(f"导入软件依赖失败。使用该模型需要额外依赖，安装方法```pip install --upgrade zhipuai```。",
            chatbot=chatbot, history=history, delay=0)
        return

    if validate_key() is False:
-        yield from update_ui_lastest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0)
+        yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0)
        return

    if additional_fn is not None:
--- a/request_llms/local_llm_class.py
+++ b/request_llms/local_llm_class.py
@@ -216,7 +216,7 @@ class LocalLLMHandle(Process):
 def get_local_llm_predict_fns(LLMSingletonClass, model_name, history_format='classic'):
    load_message = f"{model_name}尚未加载，加载需要一段时间。注意，取决于`config.py`的配置，{model_name}消耗大量的内存（CPU）或显存（GPU），也许会导致低配计算机卡死 ……"

-    def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=[], console_slience:bool=False):
+    def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="", observe_window:list=[], console_silence:bool=False):
        """
            refer to request_llms/bridge_all.py
        """
--- a/request_llms/oai_std_model_template.py
+++ b/request_llms/oai_std_model_template.py
@@ -2,15 +2,9 @@ import json
 import time
 import traceback
 import requests
-from loguru import logger

-# config_private.py放自己的秘密如API和代理网址
-# 读取时首先看是否存在私密的config_private配置文件（不受git管控），如果有，则覆盖原config文件
-from toolbox import (
-    get_conf,
-    update_ui,
-    is_the_upload_folder,
-)
+from loguru import logger
+from toolbox import get_conf, is_the_upload_folder, update_ui, update_ui_latest_msg

 proxies, TIMEOUT_SECONDS, MAX_RETRY = get_conf(
    "proxies", "TIMEOUT_SECONDS", "MAX_RETRY"
@@ -39,27 +33,35 @@ def decode_chunk(chunk):
    用于解读"content"和"finish_reason"的内容（如果支持思维链也会返回"reasoning_content"内容）
    """
    chunk = chunk.decode()
-    respose = ""
+    response = ""
    reasoning_content = ""
    finish_reason = "False"
+
+    # 考虑返回类型是 text/json 和 text/event-stream 两种
+    if chunk.startswith("data: "):
+        chunk = chunk[6:]
+    else:
+        chunk = chunk
+    
    try:
-        chunk = json.loads(chunk[6:])
+        chunk = json.loads(chunk)
    except:
-        respose = ""
+        response = ""
        finish_reason = chunk
+
    # 错误处理部分
    if "error" in chunk:
-        respose = "API_ERROR"
+        response = "API_ERROR"
        try:
            chunk = json.loads(chunk)
            finish_reason = chunk["error"]["code"]
        except:
            finish_reason = "API_ERROR"
-        return respose, finish_reason
+        return response, reasoning_content, finish_reason

    try:
        if chunk["choices"][0]["delta"]["content"] is not None:
-            respose = chunk["choices"][0]["delta"]["content"]
+            response = chunk["choices"][0]["delta"]["content"]
    except:
        pass
    try:
@@ -71,7 +73,7 @@ def decode_chunk(chunk):
        finish_reason = chunk["choices"][0]["finish_reason"]
    except:
        pass
-    return respose, reasoning_content, finish_reason
+    return response, reasoning_content, finish_reason, str(chunk)


 def generate_message(input, model, key, history, max_output_token, system_prompt, temperature):
@@ -106,7 +108,7 @@ def generate_message(input, model, key, history, max_output_token, system_prompt
    what_i_ask_now["role"] = "user"
    what_i_ask_now["content"] = input
    messages.append(what_i_ask_now)
-    playload = {
+    payload = {
        "model": model,
        "messages": messages,
        "temperature": temperature,
@@ -114,7 +116,7 @@ def generate_message(input, model, key, history, max_output_token, system_prompt
        "max_tokens": max_output_token,
    }

-    return headers, playload
+    return headers, payload


 def get_predict_function(
@@ -141,7 +143,7 @@ def get_predict_function(
        history=[],
        sys_prompt="",
        observe_window=None,
-        console_slience=False,
+        console_silence=False,
    ):
        """
        发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。
@@ -157,12 +159,12 @@ def get_predict_function(
            用于负责跨越线程传递已经输出的部分，大部分时候仅仅为了fancy的视觉效果，留空即可。observe_window[0]：观测窗。observe_window[1]：看门狗
        """
        from .bridge_all import model_info
-        watch_dog_patience = 5  # 看门狗的耐心，设置5秒不准咬人(咬的也不是人
+        watch_dog_patience = 5  # 看门狗的耐心，设置5秒不准咬人 (咬的也不是人)
        if len(APIKEY) == 0:
            raise RuntimeError(f"APIKEY为空,请检查配置文件的{APIKEY}")
        if inputs == "":
            inputs = "你好👋"
-        headers, playload = generate_message(
+        headers, payload = generate_message(
            input=inputs,
            model=llm_kwargs["llm_model"],
            key=APIKEY,
@@ -182,7 +184,7 @@ def get_predict_function(
                    endpoint,
                    headers=headers,
                    proxies=None if disable_proxy else proxies,
-                    json=playload,
+                    json=payload,
                    stream=True,
                    timeout=TIMEOUT_SECONDS,
                )
@@ -198,7 +200,7 @@ def get_predict_function(
        result = ""
        finish_reason = ""
        if reasoning:
-            resoning_buffer = ""
+            reasoning_buffer = ""
        
        stream_response = response.iter_lines()
        while True:
@@ -210,7 +212,7 @@ def get_predict_function(
                break
            except requests.exceptions.ConnectionError:
                chunk = next(stream_response)  # 失败了，重试一次？再失败就没办法了。
-            response_text, reasoning_content, finish_reason = decode_chunk(chunk)
+            response_text, reasoning_content, finish_reason, decoded_chunk = decode_chunk(chunk)
            # 返回的数据流第一次为空，继续等待
            if response_text == "" and (reasoning == False or reasoning_content == "") and finish_reason != "False":
                continue
@@ -226,12 +228,12 @@ def get_predict_function(
            if chunk:
                try:
                    if finish_reason == "stop":
-                        if not console_slience:
+                        if not console_silence:
                            print(f"[response] {result}")
                        break
                    result += response_text
                    if reasoning:
-                        resoning_buffer += reasoning_content
+                        reasoning_buffer += reasoning_content
                    if observe_window is not None:
                        # 观测窗，把已经获取的数据显示出去
                        if len(observe_window) >= 1:
@@ -247,9 +249,8 @@ def get_predict_function(
                    logger.error(error_msg)
                    raise RuntimeError("Json解析不合常规")
        if reasoning:
-            # reasoning 的部分加上框 (>)
-            return '\n'.join(map(lambda x: '> ' + x, resoning_buffer.split('\n'))) + \
-                   '\n\n' + result
+            paragraphs = ''.join([f'<p style="margin: 1.25em 0;">{line}</p>' for line in reasoning_buffer.split('\n')])
+            return f'''<div class="reasoning_process" >{paragraphs}</div>\n\n''' + result
        return result

    def predict(
@@ -268,7 +269,7 @@ def get_predict_function(
        inputs 是本次问询的输入
        top_p, temperature是chatGPT的内部调优参数
        history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-        chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
+        chatbot 为WebUI中显示的对话列表，修改它，然后yield出去，可以直接修改对话界面内容
        additional_fn代表点击的哪个按钮，按钮见functional.py
        """
        from .bridge_all import model_info
@@ -299,7 +300,7 @@ def get_predict_function(
            )  # 刷新界面
            time.sleep(2)

-        headers, playload = generate_message(
+        headers, payload = generate_message(
            input=inputs,
            model=llm_kwargs["llm_model"],
            key=APIKEY,
@@ -321,7 +322,7 @@ def get_predict_function(
                    endpoint,
                    headers=headers,
                    proxies=None if disable_proxy else proxies,
-                    json=playload,
+                    json=payload,
                    stream=True,
                    timeout=TIMEOUT_SECONDS,
                )
@@ -343,14 +344,21 @@ def get_predict_function(
            gpt_reasoning_buffer = ""

        stream_response = response.iter_lines()
+        wait_counter = 0
        while True:
            try:
                chunk = next(stream_response)
            except StopIteration:
+                if wait_counter != 0 and gpt_replying_buffer == "":
+                    yield from update_ui_latest_msg(lastmsg="模型调用失败 ...", chatbot=chatbot, history=history, msg="failed")
                break
            except requests.exceptions.ConnectionError:
                chunk = next(stream_response)  # 失败了，重试一次？再失败就没办法了。
-            response_text, reasoning_content, finish_reason = decode_chunk(chunk)
+            response_text, reasoning_content, finish_reason, decoded_chunk = decode_chunk(chunk)
+            if decoded_chunk == ': keep-alive':
+                wait_counter += 1
+                yield from update_ui_latest_msg(lastmsg="等待中 " + "".join(["."] * (wait_counter%10)), chatbot=chatbot, history=history, msg="waiting ...")
+                continue
            # 返回的数据流第一次为空，继续等待
            if response_text == "" and (reasoning == False or reasoning_content == "") and finish_reason != "False":
                status_text = f"finish_reason: {finish_reason}"
@@ -367,7 +375,7 @@ def get_predict_function(
                        chunk_decoded = chunk.decode()
                        chatbot[-1] = (
                            chatbot[-1][0],
-                            "[Local Message] {finish_reason},获得以下报错信息：\n"
+                            f"[Local Message] {finish_reason}, 获得以下报错信息：\n"
                            + chunk_decoded,
                        )
                        yield from update_ui(
@@ -385,7 +393,8 @@ def get_predict_function(
                    if reasoning:
                        gpt_replying_buffer += response_text
                        gpt_reasoning_buffer += reasoning_content
-                        history[-1] = '\n'.join(map(lambda x: '> ' + x, gpt_reasoning_buffer.split('\n'))) + '\n\n' + gpt_replying_buffer
+                        paragraphs = ''.join([f'<p style="margin: 1.25em 0;">{line}</p>' for line in gpt_reasoning_buffer.split('\n')])
+                        history[-1] = f'<div class="reasoning_process">{paragraphs}</div>\n\n---\n\n' + gpt_replying_buffer
                    else:
                        gpt_replying_buffer += response_text
                        # 如果这里抛出异常，一般是文本过长，详情见get_full_error的输出
--- a/shared_utils/char_visual_effect.py
+++ b/shared_utils/char_visual_effect.py
@@ -8,7 +8,7 @@ def is_full_width_char(ch):
        return True  # CJK标点符号
    return False

-def scolling_visual_effect(text, scroller_max_len):
+def scrolling_visual_effect(text, scroller_max_len):
    text = text.\
            replace('\n', '').replace('`', '.').replace(' ', '.').replace('<br/>', '.....').replace('$', '.')
    place_take_cnt = 0
--- a/shared_utils/connect_void_terminal.py
+++ b/shared_utils/connect_void_terminal.py
@@ -85,7 +85,7 @@ def get_chat_default_kwargs():
        "history": [],
        "sys_prompt": "You are AI assistant",
        "observe_window": None,
-        "console_slience": False,
+        "console_silence": False,
    }

    return default_chat_kwargs
--- a/shared_utils/handle_upload.py
+++ b/shared_utils/handle_upload.py
@@ -88,6 +88,32 @@ def zip_extract_member_new(self, member, targetpath, pwd):
    return targetpath


+
+def safe_extract_rar(file_path, dest_dir):
+    import rarfile
+    import posixpath
+    with rarfile.RarFile(file_path) as rf:
+        os.makedirs(dest_dir, exist_ok=True)
+        base_path = os.path.abspath(dest_dir)
+        for file_info in rf.infolist():
+            orig_filename = file_info.filename
+            filename = posixpath.normpath(orig_filename).lstrip('/')
+            # 路径遍历防护
+            if '..' in filename or filename.startswith('../'):
+                raise Exception(f"Attempted Path Traversal in {orig_filename}")
+            # 符号链接防护
+            if hasattr(file_info, 'is_symlink') and file_info.is_symlink():
+                raise Exception(f"Attempted Symlink in {orig_filename}")
+            # 构造完整目标路径
+            target_path = os.path.join(base_path, filename)
+            final_path = os.path.normpath(target_path)
+            # 最终路径校验
+            if not final_path.startswith(base_path):
+                raise Exception(f"Attempted Path Traversal in {orig_filename}")
+        rf.extractall(dest_dir)
+
+
+
 def extract_archive(file_path, dest_dir):
    import zipfile
    import tarfile
@@ -111,6 +137,8 @@ def extract_archive(file_path, dest_dir):
                    member_path = os.path.normpath(member.name)
                    full_path = os.path.join(dest_dir, member_path)
                    full_path = os.path.abspath(full_path)
+                    if member.islnk() or member.issym():
+                        raise Exception(f"Attempted Symlink in {member.name}")
                    if not full_path.startswith(os.path.abspath(dest_dir) + os.sep):
                        raise Exception(f"Attempted Path Traversal in {member.name}")

@@ -130,14 +158,11 @@ def extract_archive(file_path, dest_dir):
    # 此外，Windows上还需要安装winrar软件，配置其Path环境变量，如"C:\Program Files\WinRAR"才可以
    elif file_extension == ".rar":
        try:
-            import rarfile
-
-            with rarfile.RarFile(file_path) as rf:
-                rf.extractall(path=dest_dir)
-                logger.info("Successfully extracted rar archive to {}".format(dest_dir))
+            import rarfile  # 用来检查rarfile是否安装，不要删除
+            safe_extract_rar(file_path, dest_dir)
        except:
            logger.info("Rar format requires additional dependencies to install")
-            return "\n\n解压失败! 需要安装pip install rarfile来解压rar文件。建议：使用zip压缩格式。"
+            return "<br/><br/>解压失败! 需要安装pip install rarfile来解压rar文件。建议：使用zip压缩格式。"

    # 第三方库，需要预先pip install py7zr
    elif file_extension == ".7z":
@@ -149,7 +174,7 @@ def extract_archive(file_path, dest_dir):
                logger.info("Successfully extracted 7z archive to {}".format(dest_dir))
        except:
            logger.info("7z format requires additional dependencies to install")
-            return "\n\n解压失败! 需要安装pip install py7zr来解压7z文件"
+            return "<br/><br/>解压失败! 需要安装pip install py7zr来解压7z文件"
    else:
        return ""
    return ""
--- a/start.sh
+++ b/start.sh
@@ -0,0 +1,11 @@
+#!/bin/bash
+GPT_COMMAND="/home/van/.env/python3.12-venv/bin/python main.py"
+LOG_FILE="/home/van/project/gpt/gpt.log"
+GPT_PROCESS=$(ps aux | grep "$/home/van/.env/python3.12-venv/bin/python main.py" | grep -v grep)
+if [ -n "$GPT_PROCESS" ]; then
+echo "gpt is running..."
+else
+cd /home/van/project/gpt/
+$GPT_COMMAND > "$LOG_FILE" 2>&1 &
+echo "gpt start successfully. Log file: $LOG_FILE"
+fi
--- a/tests/test_markdown.py
+++ b/tests/test_markdown.py
@@ -45,28 +45,161 @@ Any folded content here. It requires an empty line just above it.

 md ="""

-在这种场景中，您希望机器 B 能够通过轮询机制来间接地“请求”机器 A，而实际上机器 A 只能主动向机器 B 发出请求。这是一种典型的客户端-服务器轮询模式。下面是如何实现这种机制的详细步骤：
+<details>
+<summary>第0份搜索结果 [源自google搜索] （汤姆·赫兰德）：</summary>
+<div class="search_result">https://baike.baidu.com/item/%E6%B1%A4%E5%A7%86%C2%B7%E8%B5%AB%E5%85%B0%E5%BE%B7/3687216</div>
+<div class="search_result">Title: 汤姆·赫兰德

-### 机器 B 的实现
+URL Source: https://baike.baidu.com/item/%E6%B1%A4%E5%A7%86%C2%B7%E8%B5%AB%E5%85%B0%E5%BE%B7/3687216

-1. **安装 FastAPI 和必要的依赖库**：
-   ```bash
-   pip install fastapi uvicorn
-   ```
+Markdown Content:
+网页新闻贴吧知道网盘图片视频地图文库资讯采购百科
+百度首页
+登录
+注册
+进入词条
+全站搜索
+帮助
+首页
+秒懂百科
+特色百科
+知识专题
+加入百科
+百科团队
+权威合作
+个人中心
+汤姆·赫兰德
+播报
+讨论
+上传视频
+英国男演员
+汤姆·赫兰德（Tom Holland），1996年6月1日出生于英国英格兰泰晤士河畔金斯顿，英国男演员。2008年，出演音乐剧《跳出我天地》而崭露头角。2010年，作为主演参加音乐剧《跳出我天地》的五周年特别演出。2012年10月11日，主演的个人首部电影《海啸奇迹》上映，并凭该电影获得第84届美国国家评论协会奖最具突破男演员奖。2016年10月15日，与查理·汉纳姆、西耶娜·米勒合作出演的电影《 ... >>>

-2. **创建 FastAPI 服务**：
-   ```python
-   from fastapi import FastAPI
-   from fastapi.responses import JSONResponse
-   from uuid import uuid4
-   from threading import Lock
-   import time
+目录
+1早年经历
+2演艺经历
+▪影坛新星
+▪角色多变
+▪跨界翘楚
+3个人生活
+▪家庭
+▪恋情
+▪社交
+4主要作品
+▪参演电影
+▪参演电视剧
+▪配音作品
+▪导演作品
+▪杂志写真
+5社会活动
+6获奖记录
+7人物评价
+基本信息
+汤姆·赫兰德（Tom Holland），1996年6月1日出生于英国英格兰泰晤士河畔金斯顿，英国男演员。 [67]
+2008年，出演音乐剧《跳出我天地》而崭露头角 [1]。2010年，作为主演参加音乐剧《跳出我天地》的五周年特别演出 [2]。2012年10月11日，主演的个人首部电影《海啸奇迹》上映，并凭该电影获得第84届美国国家评论协会奖最具突破男演员奖 [3]。2016年10月15日，与查理·汉纳姆、西耶娜·米勒合作出演的电影《迷失Z城》在纽约电影节首映 [17]；2017年，主演的《蜘蛛侠：英雄归来》上映，他凭该电影获得第19届青少年选择奖最佳暑期电影男演员奖，以及第70届英国电影和电视艺术学院奖最佳新星奖。 [72]2019年，主演的电影《蜘蛛侠：英雄远征》上映 [5]；同年，凭借该电影获得第21届青少年选择奖最佳夏日电影男演员奖 [6]。2024年4月，汤姆·霍兰德主演的伦敦西区新版舞台剧《罗密欧与朱丽叶》公布演员名单。 [66]
+2024年，......</div>
+</details>

-   app = FastAPI()
+<details>
+<summary>第1份搜索结果 [源自google搜索] （汤姆·霍兰德）：</summary>
+<div class="search_result">https://zh.wikipedia.org/zh-hans/%E6%B1%A4%E5%A7%86%C2%B7%E8%B5%AB%E5%85%B0%E5%BE%B7</div>
+<div class="search_result">Title: 汤姆·赫兰德

-   # 字典用于存储请求和状态
-   requests = {}
-   process_lock = Lock()
+URL Source: https://zh.wikipedia.org/zh-hans/%E6%B1%A4%E5%A7%86%C2%B7%E8%B5%AB%E5%85%B0%E5%BE%B7
+
+Published Time: 2015-06-24T01:08:01Z
+
+Markdown Content:
+| 汤姆·霍兰德
+Tom Holland |
+| --- |
+| [![Image 19](https://upload.wikimedia.org/wikipedia/commons/thumb/3/3c/Tom_Holland_by_Gage_Skidmore.jpg/220px-Tom_Holland_by_Gage_Skidmore.jpg)](https://zh.wikipedia.org/wiki/File:Tom_Holland_by_Gage_Skidmore.jpg)
+
+2016年在[圣地牙哥国际漫画展](https://zh.wikipedia.org/wiki/%E8%81%96%E5%9C%B0%E7%89%99%E5%93%A5%E5%9C%8B%E9%9A%9B%E6%BC%AB%E7%95%AB%E5%B1%95 "圣地牙哥国际漫画展")的霍兰德
+
+
+
+ |
+| 男演员 |
+| 昵称 | 荷兰弟[\[1\]](https://zh.wikipedia.org/zh-hans/%E6%B1%A4%E5%A7%86%C2%B7%E8%B5%AB%E5%85%B0%E5%BE%B7#cite_note-1) |
+| 出生 | 汤玛斯·史丹利·霍兰德  
+（Thomas Stanley Holland）[\[2\]](https://zh.wikipedia.org/zh-hans/%E6%B1%A4%E5%A7%86%C2%B7%E8%B5%AB%E5%85%B0%E5%BE%B7#cite_note-2)
+
+  
+1996年6月1日（28岁）  
+
+英国[英格兰](https://zh.wikipedia.org/wiki/%E8%8B%B1%E6%A0%BC%E8%98%AD "英格兰")[泰晤士河畔金斯顿](https://zh.wikipedia.org/wiki/%E6%B3%B0%E6%99%A4......</div>
+</details>
+
+<details>
+<summary>第2份搜索结果 [源自google搜索] （为什么汤姆赫兰德被称为荷兰弟？）：</summary>
+<div class="search_result">https://www.zhihu.com/question/363988307</div>
+<div class="search_result">Title: 为什么汤姆赫兰德被称为荷兰弟？ - 知乎
+
+URL Source: https://www.zhihu.com/question/363988307
+
+Markdown Content:
+要说漫威演员里面，谁是最牛的存在，不好说，各有各的看法，但要说谁是最能剧透的，毫无疑问，是我们的汤姆赫兰德荷兰弟，可以说，他算得上是把剧透给玩明白了，先后剧透了不少的电影桥段，以至于漫威后面像防贼一样防着人家荷兰弟，可大家知道吗？你永远想象不到荷兰弟的嘴巴到底有多能漏风？
+
+![Image 9](https://pica.zhimg.com/50/v2-a0aa9972315519ec4975f974f01fc6ca_720w.jpg?source=1def8aca)
+
+故事要回到《侏罗纪世界2》的筹备期间，当时，荷兰弟也参与了面试，计划在剧中饰演一个角色，原本，这也没啥，这都是好莱坞的传统了，可是，当时的导演胡安根本不知道荷兰弟的“风光伟绩”，于是乎，人家便屁颠屁颠把侏罗纪世界2的资料拿过来给荷兰弟，虽然，后面没有让荷兰弟出演这部电影，但导演似乎忘了他的嘴巴是开过光的。
+
+![Image 10](https://picx.zhimg.com/50/v2-1da72b482c6a44e1826abb430d95a062_720w.jpg?source=1def8aca)
+
+荷兰弟把剧情刻在了脑子
+......</div>
+</details>
+
+<details>
+<summary>第3份搜索结果 [源自google搜索] （爱戴名表被喷配不上赞达亚，荷兰弟曝近照气质大变，2）：</summary>
+<div class="search_result">https://www.sohu.com/a/580380519_120702487</div>
+<div class="search_result">Title: 爱戴名表被喷配不上赞达亚，荷兰弟曝近照气质大变，26岁资产惊人_蜘蛛侠_手表_罗伯特·唐尼
+
+URL Source: https://www.sohu.com/a/580380519_120702487
+
+Markdown Content:
+2022-08-27 19:00 来源: [BEGEEL宾爵表](https://www.sohu.com/a/580380519_120702487?spm=smpc.content-abroad.content.1.1739375950559fBhgNpP)
+
+发布于：广东省
+
+近日，大家熟悉的荷兰弟，也就演漫威超级英雄“蜘蛛侠”而走红的英国男星汤姆·赫兰德（Tom Holland），最近在没有任何预警的情况下宣布自己暂停使用社交媒体，原因网络暴力已经严重影响到他的心理健康了。虽然自出演蜘蛛侠以来，对荷兰弟的骂声就没停过，但不可否认他确实是一位才貌双全的好演员，同时也是一位拥有高雅品味的地道英伦绅士，从他近年名表收藏的趋势也能略知一二。
+
+![Image 37](https://p5.itc.cn/q_70/images03/20220827/86aca867047b4119ba96a59e33d2d387.jpeg)
+
+2016年，《美国队长3：内战》上映，汤姆·赫兰德扮演的“史上最嫩”蜘蛛侠也正式登场。这个美国普通学生，由于意外被一只受过放射性感染的蜘蛛咬到，并因此获得超能力，化身邻居英雄蜘蛛侠警恶惩奸。和蜘蛛侠彼得·帕克一样，当时年仅20岁的荷兰弟无论戏里戏外的穿搭都是少年感十足，走的阳光邻家大男孩路线，手上戴的最多的就是来自卡西欧的电子表，还有来自Nixon sentry的手表，千元级别甚至是百元级。
+
+20岁的荷兰弟走的是邻家大男孩路线
+
+![Image 38](https://p3.itc.cn/q_70/images03/20220827/aded82ecfb1d439a8fd4741b49a8eb9b.png)
+
+随着荷兰弟主演的《蜘蛛侠：英雄归来》上演，第三代蜘蛛侠的话痨性格和年轻活力的形象瞬间圈粉无数。荷兰弟的知名度和演艺收入都大幅度增长，他的穿衣品味也渐渐从稚嫩少年风转变成轻熟绅士风。从简单的T恤短袖搭配牛仔裤，开始向更加丰富的造型发展，其中变化最明显的就是他手腕上的表。
+
+荷兰弟的衣品日......</div>
+</details>
+
+<details>
+<summary>第4份搜索结果 [源自google搜索] （荷兰弟居然要休息一年，因演戏演到精神分裂…）：</summary>
+<div class="search_result">https://www.sohu.com/a/683718058_544020</div>
+<div class="search_result">Title: 荷兰弟居然要休息一年，因演戏演到精神分裂…_Holland_Tom_工作
+
+URL Source: https://www.sohu.com/a/683718058_544020
+
+Markdown Content:
+荷兰弟居然要休息一年，因演戏演到精神分裂…\_Holland\_Tom\_工作
+=============== 
+
+*   [](http://www.sohu.com/?spm=smpc.content-abroad.nav.1.1739375954055TcEvWsY)
+*   [新闻](http://news.sohu.com/?spm=smpc.content-abroad.nav.2.1739375954055TcEvWsY)
+*   [体育](http://sports.sohu.com/?spm=smpc.content-abroad.nav.3.1739375954055TcEvWsY)
+*   [汽车](http://auto.sohu.com/?spm=smpc.content-abroad.nav.4.1739375954055TcEvWsY)
+*   [房产](http://www.focus.cn/?spm=smpc.content-abroad.nav.5.1739375954055TcEvWsY)
+*   [旅游](http://travel.sohu.com/?spm=smpc.content-abroad.nav.6.1739375954055TcEvWsY)
+*   [教育](http://learning.sohu.com/?spm=smpc.content-abroad.nav.7.1739375954055TcEvWsY)
+*   [时尚](http://fashion.sohu.com/?spm=smpc.content-abroad.nav.8.1739375954055TcEvWsY)
+*   [科技](http://it.sohu.com/?spm=smpc.content-abroad.nav.9.1739375954055TcEvWsY)
+*   [财经](http://business.sohu.com/?spm=smpc.content-abroad.nav.10.17393759......</div>
+</details>

 """
 def validate_path():
--- a/tests/test_media.py
+++ b/tests/test_media.py
@@ -48,8 +48,6 @@ if __name__ == "__main__":

    # plugin_test(plugin='crazy_functions.下载arxiv论文翻译摘要->下载arxiv论文并翻译摘要', main_input="1812.10695")

-    # plugin_test(plugin='crazy_functions.联网的ChatGPT->连接网络回答问题', main_input="谁是应急食品？")
-
    # plugin_test(plugin='crazy_functions.解析JupyterNotebook->解析ipynb文件', main_input="crazy_functions/test_samples")

    # plugin_test(plugin='crazy_functions.数学动画生成manim->动画生成', main_input="A ball split into 2, and then split into 4, and finally split into 8.")
--- a/tests/test_plugins.py
+++ b/tests/test_plugins.py
@@ -48,8 +48,6 @@ if __name__ == "__main__":

    # plugin_test(plugin='crazy_functions.下载arxiv论文翻译摘要->下载arxiv论文并翻译摘要', main_input="1812.10695")

-    # plugin_test(plugin='crazy_functions.联网的ChatGPT->连接网络回答问题', main_input="谁是应急食品？")
-
    # plugin_test(plugin='crazy_functions.解析JupyterNotebook->解析ipynb文件', main_input="crazy_functions/test_samples")

    # plugin_test(plugin='crazy_functions.数学动画生成manim->动画生成', main_input="A ball split into 2, and then split into 4, and finally split into 8.")
--- a/tests/test_python_auto_docstring.py
+++ b/tests/test_python_auto_docstring.py
@@ -9,7 +9,7 @@ from textwrap import dedent
 # TODO: 解决缩进问题

 find_function_end_prompt = '''
-Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to sperate functions, class functions etc.
+Below is a page of code that you need to read. This page may not yet complete, you job is to split this page to separate functions, class functions etc.
 - Provide the line number where the first visible function ends.
 - Provide the line number where the next visible function begins.
 - If there are no other functions in this page, you should simply return the line number of the last line.
@@ -58,7 +58,7 @@ OUTPUT:



-revise_funtion_prompt = '''
+revise_function_prompt = '''
 You need to read the following code, and revise the code according to following instructions:
 1. You should analyze the purpose of the functions (if there are any).
 2. You need to add docstring for the provided functions (if there are any).
@@ -147,7 +147,7 @@ class ContextWindowManager():
            history=[],
            sys_prompt="",
            observe_window=[],
-            console_slience=True
+            console_silence=True
        )

        def extract_number(text):
@@ -240,15 +240,15 @@ class ContextWindowManager():
    def tag_code(self, fn):
        code = ''.join(fn)
        _, n_indent = self.dedent(code)
-        indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preseve them in the OUTPUT.)"
+        indent_reminder = "" if n_indent == 0 else "(Reminder: as you can see, this piece of code has indent made up with {n_indent} whitespace, please preserve them in the OUTPUT.)"
        self.llm_kwargs['temperature'] = 0
        result = predict_no_ui_long_connection(
-            inputs=revise_funtion_prompt.format(THE_CODE=code, INDENT_REMINDER=indent_reminder),
+            inputs=revise_function_prompt.format(THE_CODE=code, INDENT_REMINDER=indent_reminder),
            llm_kwargs=self.llm_kwargs,
            history=[],
            sys_prompt="",
            observe_window=[],
-            console_slience=True
+            console_silence=True
        )

        def get_code_block(reply):
--- a/themes/common.css
+++ b/themes/common.css
@@ -311,3 +311,24 @@
    backdrop-filter: blur(10px);
    background-color: rgba(var(--block-background-fill), 0.5);
 }
+
+
+.reasoning_process {
+    font-size: smaller;
+    font-style: italic;
+    margin: 0px;
+    padding: 1em;
+    line-height: 1.5;
+    text-wrap: wrap;
+    opacity: 0.8;
+}
+
+.search_result {
+    font-size: smaller;
+    font-style: italic;
+    margin: 0px;
+    padding: 1em;
+    line-height: 1.5;
+    text-wrap: wrap;
+    opacity: 0.8;
+}
--- a/themes/gui_toolbar.py
+++ b/themes/gui_toolbar.py
@@ -26,8 +26,8 @@ def define_gui_toolbar(AVAIL_LLM_MODELS, LLM_MODEL, INIT_SYS_PROMPT, THEME, AVAI
                fontfamily_dropdown = gr.Dropdown(AVAIL_FONTS, value=get_conf("FONT"), elem_id="elem_fontfamily", label="更换字体类型").style(container=False)
                fontsize_slider = gr.Slider(minimum=5, maximum=25, value=15, step=1, interactive=True, label="字体大小(默认15)", elem_id="elem_fontsize")
                checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区", "浮动输入区", "输入清除键", "插件参数区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区", elem_id='cbs').style(container=False)
-                opt = ["自定义菜单"]
-                value=[]
+                opt = ["自定义菜单", "主标题", "副标题", "显示logo"]
+                value=["主标题", "副标题", "显示logo"]
                if ADD_WAIFU: opt += ["添加Live2D形象"]; value += ["添加Live2D形象"]
                checkboxes_2 = gr.CheckboxGroup(opt, value=value, label="显示/隐藏自定义菜单", elem_id='cbsc').style(container=False)
                dark_mode_btn = gr.Button("切换界面明暗 ☀", variant="secondary").style(size="sm")
--- a/themes/init.js
+++ b/themes/init.js
@@ -128,6 +128,14 @@ function gpt_academic_change_chatbot_font(fontfamily, fontsize, fontcolor) {
    }
 }

+function footer_show_hide(show) {
+    if (show) {
+        document.querySelector('footer').style.display = '';
+    } else {
+        document.querySelector('footer').style.display = 'none';
+    }
+}
+
 async function GptAcademicJavaScriptInit(dark, prompt, live2d, layout, tts) {
    // 第一部分，布局初始化
    remove_legacy_cookie();
@@ -179,6 +187,7 @@ async function GptAcademicJavaScriptInit(dark, prompt, live2d, layout, tts) {
            }
        }
    }
+
    // 字体
    gpt_academic_gradio_saveload("load", "elem_fontfamily", "js_fontfamily", null, "str");
    gpt_academic_change_chatbot_font(getCookie("js_fontfamily"), null, null);
@@ -205,7 +214,93 @@ async function GptAcademicJavaScriptInit(dark, prompt, live2d, layout, tts) {
    }


-
+    if (getCookie("js_show_title")) {
+        // have cookie
+        bool_value = getCookie("js_show_title")
+        bool_value = bool_value == "True";
+        searchString = "主标题";
+        tool_bar_group = "cbsc";
+        const true_function = function () {
+            document.querySelector('.prose.svelte-1ybaih5 h1').style.display = '';
+        }
+        const false_function = function () {
+            document.querySelector('.prose.svelte-1ybaih5 h1').style.display = 'none';
+        }
+        if (bool_value) {
+            // make btns appear
+            true_function();
+            // deal with checkboxes
+            let arr_with_clear_btn = update_array(
+                await get_data_from_gradio_component(tool_bar_group), searchString, "add"
+            )
+            push_data_to_gradio_component(arr_with_clear_btn, tool_bar_group, "no_conversion");
+        } else {
+            false_function();
+            // deal with checkboxes
+            let arr_without_clear_btn = update_array(
+                await get_data_from_gradio_component(tool_bar_group), searchString, "remove"
+            )
+            push_data_to_gradio_component(arr_without_clear_btn, tool_bar_group, "no_conversion");
+        }
+    }
+    if (getCookie("js_show_subtitle")) {
+        // have cookie
+        bool_value = getCookie("js_show_subtitle")
+        bool_value = bool_value == "True";
+        searchString = "副标题";
+        tool_bar_group = "cbsc";
+        const true_function = function () {
+            element = document.querySelector('.prose.svelte-1ybaih5 h2');
+            if (element) element.style.display = '';
+            element = document.querySelector('.prose.svelte-1ybaih5 h6');
+            if (element) element.style.display = '';
+        }
+        const false_function = function () {
+            element = document.querySelector('.prose.svelte-1ybaih5 h2');
+            if (element) element.style.display = 'none';
+            element = document.querySelector('.prose.svelte-1ybaih5 h6');
+            if (element) element.style.display = 'none';
+        }
+        if (bool_value) {
+            // make btns appear
+            true_function();
+            // deal with checkboxes
+            let arr_with_clear_btn = update_array(
+                await get_data_from_gradio_component(tool_bar_group), searchString, "add"
+            )
+            push_data_to_gradio_component(arr_with_clear_btn, tool_bar_group, "no_conversion");
+        } else {
+            false_function();
+            // deal with checkboxes
+            let arr_without_clear_btn = update_array(
+                await get_data_from_gradio_component(tool_bar_group), searchString, "remove"
+            )
+            push_data_to_gradio_component(arr_without_clear_btn, tool_bar_group, "no_conversion");
+        }
+    }
+    if (getCookie("js_show_footer")) {
+        // have cookie
+        bool_value = getCookie("js_show_footer")
+        searchString = "显示logo";
+        tool_bar_group = "cbsc";
+        bool_value = bool_value == "True";
+        if (bool_value) {
+            // make btns appear
+            footer_show_hide(true);
+            // deal with checkboxes
+            let arr_with_clear_btn = update_array(
+                await get_data_from_gradio_component(tool_bar_group), searchString, "add"
+            )
+            push_data_to_gradio_component(arr_with_clear_btn, tool_bar_group, "no_conversion");
+        } else {
+            footer_show_hide(false);
+            // deal with checkboxes
+            let arr_without_clear_btn = update_array(
+                await get_data_from_gradio_component(tool_bar_group), searchString, "remove"
+            )
+            push_data_to_gradio_component(arr_without_clear_btn, tool_bar_group, "no_conversion");
+        }
+    }
    // clearButton 自动清除按钮
    if (getCookie("js_clearbtn_show_cookie")) {
        // have cookie
@@ -219,7 +314,7 @@ async function GptAcademicJavaScriptInit(dark, prompt, live2d, layout, tts) {
            let clearButton2 = document.getElementById("elem_clear2"); clearButton2.style.display = "block";
            // deal with checkboxes
            let arr_with_clear_btn = update_array(
-                await get_data_from_gradio_component('cbs'), "输入清除键", "add"
+                await get_data_from_gradio_component("cbs"), "输入清除键", "add"
            )
            push_data_to_gradio_component(arr_with_clear_btn, "cbs", "no_conversion");
        } else {
@@ -228,7 +323,7 @@ async function GptAcademicJavaScriptInit(dark, prompt, live2d, layout, tts) {
            let clearButton2 = document.getElementById("elem_clear2"); clearButton2.style.display = "none";
            // deal with checkboxes
            let arr_without_clear_btn = update_array(
-                await get_data_from_gradio_component('cbs'), "输入清除键", "remove"
+                await get_data_from_gradio_component("cbs"), "输入清除键", "remove"
            )
            push_data_to_gradio_component(arr_without_clear_btn, "cbs", "no_conversion");
        }
@@ -268,3 +363,47 @@ async function GptAcademicJavaScriptInit(dark, prompt, live2d, layout, tts) {
    change_theme("", "")

 }
+
+
+
+function apply_checkbox_change_for_group2(display_panel_arr) {
+    setTimeout(() => {
+        display_panel_arr = get_checkbox_selected_items("cbsc");
+
+        let searchString = "添加Live2D形象";
+        if (display_panel_arr.includes(searchString)) {
+            setCookie("js_live2d_show_cookie", "True", 365);
+            loadLive2D();
+        } else {
+            try {
+                setCookie("js_live2d_show_cookie", "False", 365);
+                $('.waifu').hide();
+            } catch (e) {
+            }
+        }
+
+
+        function handleDisplay(searchString, key, displayElement, showFn, hideFn) {
+            if (display_panel_arr.includes(searchString)) {
+                setCookie(key, "True", 365);
+                if (showFn) showFn();
+                if (displayElement) displayElement.style.display = '';
+            } else {
+                setCookie(key, "False", 365);
+                if (hideFn) hideFn();
+                if (displayElement) displayElement.style.display = 'none';
+            }
+        }
+
+        // 主标题
+        const mainTitle = document.querySelector('.prose.svelte-1ybaih5 h1');
+        handleDisplay("主标题", "js_show_title", mainTitle, null, null);
+
+        // 副标题
+        const subTitle = document.querySelector('.prose.svelte-1ybaih5 h2');
+        handleDisplay("副标题", "js_show_subtitle", subTitle, null, null);
+
+        // 显示logo
+        handleDisplay("显示logo", "js_show_footer", null, () => footer_show_hide(true), () => footer_show_hide(false));
+    }, 50);
+}
--- a/themes/theme.py
+++ b/themes/theme.py
@@ -141,23 +141,3 @@ setTimeout(() => {
 }
 """

-
-
-js_code_show_or_hide_group2 = """
-(display_panel_arr)=>{
-setTimeout(() => {
-    display_panel_arr = get_checkbox_selected_items("cbsc");
-
-    let searchString = "添加Live2D形象";
-    let ele = "none";
-    if (display_panel_arr.includes(searchString)) {
-        setCookie("js_live2d_show_cookie", "True", 365);
-        loadLive2D();
-    } else {
-        setCookie("js_live2d_show_cookie", "False", 365);
-        $('.waifu').hide();
-    }
-
-}, 50);
-}
-"""
--- a/themes/waifu_plugin/live2d.js
+++ b/themes/waifu_plugin/live2d.js
@@ -598,7 +598,7 @@ function(t) {
 	default.VIEW_LOGICAL_MAX_BOTTOM, w.
 	default.VIEW_LOGICAL_MAX_TOP), B.setMaxScale(w.
 	default.VIEW_MAX_SCALE), B.setMinScale(w.
-	default.VIEW_MIN_SCALE), U = new M.L2DMatrix44, U.multScale(1, i / e), G = new M.L2DMatrix44, G.multTranslate(-i / 2, -e / 2), G.multScale(2 / i, -2 / i), F = v(), (0, D.setContext)(F), !F) return console.error("Failed to create WebGL context."), void(window.WebGLRenderingContext && console.error("Your browser don't support WebGL, check https://get.webgl.org/ for futher information."));
+	default.VIEW_MIN_SCALE), U = new M.L2DMatrix44, U.multScale(1, i / e), G = new M.L2DMatrix44, G.multTranslate(-i / 2, -e / 2), G.multScale(2 / i, -2 / i), F = v(), (0, D.setContext)(F), !F) return console.error("Failed to create WebGL context."), void(window.WebGLRenderingContext && console.error("Your browser don't support WebGL, check https://get.webgl.org/ for further information."));
 		window.Live2D.setGL(F), F.clearColor(0, 0, 0, 0), a(t), s()
 	}
 	function s() {
--- a/toolbox.py
+++ b/toolbox.py
@@ -183,7 +183,7 @@ def update_ui(chatbot:ChatBotWithCookies, history:list, msg:str="正常", **kwar
    yield cookies, chatbot_gr, json_history, msg


-def update_ui_lastest_msg(lastmsg:str, chatbot:ChatBotWithCookies, history:list, delay:float=1, msg:str="正常"):  # 刷新界面
+def update_ui_latest_msg(lastmsg:str, chatbot:ChatBotWithCookies, history:list, delay:float=1, msg:str="正常"):  # 刷新界面
    """
    刷新用户界面
    """
@@ -679,7 +679,7 @@ def run_gradio_in_subpath(demo, auth, port, custom_path):
            return True
        if len(path) == 0:
            logger.info(
-                "ilegal custom path: {}\npath must not be empty\ndeploy on root url".format(
+                "illegal custom path: {}\npath must not be empty\ndeploy on root url".format(
                    path
                )
            )
@@ -690,14 +690,14 @@ def run_gradio_in_subpath(demo, auth, port, custom_path):
                return True
            return False
        logger.info(
-            "ilegal custom path: {}\npath should begin with '/'\ndeploy on root url".format(
+            "illegal custom path: {}\npath should begin with '/'\ndeploy on root url".format(
                path
            )
        )
        return False

    if not is_path_legal(custom_path):
-        raise RuntimeError("Ilegal custom path")
+        raise RuntimeError("Illegal custom path")
    import uvicorn
    import gradio as gr
    from fastapi import FastAPI
Author	SHA1	Message	Date
雷欧（林平凡）	0055ea2df7	Merge branch 'master' of https://github.com/binary-husky/gpt_academic Some checks failed build-with-all-capacity / build-and-push-image (push) Has been cancelled Details build-with-audio-assistant / build-and-push-image (push) Has been cancelled Details build-with-chatglm / build-and-push-image (push) Has been cancelled Details build-with-latex-arm / build-and-push-image (push) Has been cancelled Details build-with-latex / build-and-push-image (push) Has been cancelled Details build-without-local-llms / build-and-push-image (push) Has been cancelled Details	2025-03-04 14:16:24 +08:00
Steven Moder	4a79aa6a93	typo: Fix typos and rename functions across multiple files (#2130 ) * typo: Fix typos and rename functions across multiple files This commit addresses several minor issues: - Corrected spelling of function names (e.g., `update_ui_lastest_msg` to `update_ui_latest_msg`) - Fixed typos in comments and variable names - Corrected capitalization in some strings (e.g., "ArXiv" instead of "Arixv") - Renamed some variables for consistency - Corrected some console-related parameter names (e.g., `console_slience` to `console_silence`) The changes span multiple files across the project, including request LLM bridges, crazy functions, and utility modules. * fix: f-string expression part cannot include a backslash (#2139) * raise error when the uploaded tar contain hard/soft link (#2136) * minor bug fix * fine tune reasoning css * upgrade internet gpt plugin * Update README.md * fix GHSA-gqp5-wm97-qxcv * typo fix * update readme --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> Co-authored-by: binary-husky <qingxu.fu@outlook.com>	2025-03-02 02:16:10 +08:00
binary-husky	5dffe8627f	fix GHSA-gqp5-wm97-qxcv	2025-03-02 01:58:45 +08:00
binary-husky	2aefef26db	Update README.md	2025-02-21 19:51:09 +08:00
binary-husky	957da731db	upgrade internet gpt plugin	2025-02-13 00:19:43 +08:00
雷欧（林平凡）	155e7e0deb	Merge remote-tracking branch 'github/master' Some checks failed build-with-all-capacity / build-and-push-image (push) Has been cancelled Details build-with-audio-assistant / build-and-push-image (push) Has been cancelled Details build-with-chatglm / build-and-push-image (push) Has been cancelled Details build-with-latex-arm / build-and-push-image (push) Has been cancelled Details build-with-latex / build-and-push-image (push) Has been cancelled Details build-without-local-llms / build-and-push-image (push) Has been cancelled Details # Conflicts: # config.py	2025-02-12 15:07:39 +08:00
binary-husky	add29eba08	fine tune reasoning css	2025-02-09 20:26:52 +08:00
binary-husky	163e59c0f3	minor bug fix	2025-02-09 19:33:02 +08:00
binary-husky	07ece29c7c	raise error when the uploaded tar contain hard/soft link (#2136 )	2025-02-08 20:54:01 +08:00
Steven Moder	991a903fa9	fix: f-string expression part cannot include a backslash (#2139 )	2025-02-08 20:50:54 +08:00
Steven Moder	cf7c81170c	fix: return 参数数量及返回类型考虑 (#2129 )	2025-02-07 21:33:06 +08:00
barry	6dda2061dd	Update bridge_openrouter.py (#2132 ) fix openrouter api 400 post bug Co-authored-by: lan <56376794+lostatnight@users.noreply.github.com>	2025-02-07 21:28:05 +08:00
雷欧（林平凡）	e9de41b7e8	1 Some checks failed build-with-all-capacity / build-and-push-image (push) Has been cancelled Details build-with-audio-assistant / build-and-push-image (push) Has been cancelled Details build-with-chatglm / build-and-push-image (push) Has been cancelled Details build-with-latex-arm / build-and-push-image (push) Has been cancelled Details build-with-latex / build-and-push-image (push) Has been cancelled Details build-without-local-llms / build-and-push-image (push) Has been cancelled Details	2025-02-07 11:21:24 +08:00
雷欧（林平凡）	b34c79a94b	1 Some checks are pending build-with-all-capacity / build-and-push-image (push) Waiting to run Details build-with-audio-assistant / build-and-push-image (push) Waiting to run Details build-with-chatglm / build-and-push-image (push) Waiting to run Details build-with-latex-arm / build-and-push-image (push) Waiting to run Details build-with-latex / build-and-push-image (push) Waiting to run Details build-without-local-llms / build-and-push-image (push) Waiting to run Details	2025-02-07 11:17:38 +08:00
binary-husky	8a0d96afd3	consider element missing cases in js	2025-02-07 01:21:21 +08:00
binary-husky	37f9b94dee	add options to hide ui components	2025-02-07 00:17:36 +08:00
雷欧（林平凡）	95284d859b	1 Some checks are pending build-with-all-capacity / build-and-push-image (push) Waiting to run Details build-with-audio-assistant / build-and-push-image (push) Waiting to run Details build-with-chatglm / build-and-push-image (push) Waiting to run Details build-with-latex-arm / build-and-push-image (push) Waiting to run Details build-with-latex / build-and-push-image (push) Waiting to run Details build-without-local-llms / build-and-push-image (push) Waiting to run Details	2025-02-06 10:46:46 +08:00
雷欧（林平凡）	a552592b5a	1 Some checks are pending build-with-all-capacity / build-and-push-image (push) Waiting to run Details build-with-audio-assistant / build-and-push-image (push) Waiting to run Details build-with-chatglm / build-and-push-image (push) Waiting to run Details build-with-latex-arm / build-and-push-image (push) Waiting to run Details build-with-latex / build-and-push-image (push) Waiting to run Details build-without-local-llms / build-and-push-image (push) Waiting to run Details	2025-02-06 10:32:13 +08:00
雷欧（林平凡）	e305f1b4a8	1 Some checks are pending build-with-all-capacity / build-and-push-image (push) Waiting to run Details build-with-audio-assistant / build-and-push-image (push) Waiting to run Details build-with-chatglm / build-and-push-image (push) Waiting to run Details build-with-latex-arm / build-and-push-image (push) Waiting to run Details build-with-latex / build-and-push-image (push) Waiting to run Details build-without-local-llms / build-and-push-image (push) Waiting to run Details	2025-02-06 10:30:58 +08:00
van	a88497c3ab	1 Some checks are pending build-with-all-capacity / build-and-push-image (push) Waiting to run Details build-with-audio-assistant / build-and-push-image (push) Waiting to run Details build-with-chatglm / build-and-push-image (push) Waiting to run Details build-with-latex-arm / build-and-push-image (push) Waiting to run Details build-with-latex / build-and-push-image (push) Waiting to run Details build-without-local-llms / build-and-push-image (push) Waiting to run Details	2025-02-06 10:23:42 +08:00
雷欧（林平凡）	0f1d2e0e48	1 Some checks are pending build-with-all-capacity / build-and-push-image (push) Waiting to run Details build-with-audio-assistant / build-and-push-image (push) Waiting to run Details build-with-chatglm / build-and-push-image (push) Waiting to run Details build-with-latex-arm / build-and-push-image (push) Waiting to run Details build-with-latex / build-and-push-image (push) Waiting to run Details build-without-local-llms / build-and-push-image (push) Waiting to run Details	2025-02-06 10:03:34 +08:00
binary-husky	936e2f5206	update readme	2025-02-04 16:15:56 +08:00