Update version

补充了"不能正常加载ChatGLM的参数"的解决方法

.gitignore

@@ -146,3 +146,4 @@ debug*
 private*
 crazy_functions/test_project/pdf_and_word
 crazy_functions/test_samples
+request_llm/jittorllms

README.md

@@ -1,10 +1,15 @@
+> **Note**
+>
+> 安装依赖时，请严格选择requirements.txt中**指定的版本**。 
+> 
+> `pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/`
+>
 
+# <img src="docs/logo.png" width="40" > GPT 学术优化 (GPT Academic)
 
-# <img src="docs/logo.png" width="40" > ChatGPT 学术优化
+**如果喜欢这个项目，请给它一个Star；如果你发明了更好用的快捷键或函数插件，欢迎发pull requests**
 
-**如果喜欢这个项目，请给它一个Star；如果你发明了更好用的快捷键或函数插件，欢迎发issue或者pull requests**
+If you like this project, please give it a Star. If you've come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request. We also have a README in [English|](docs/README_EN.md)[日本語|](docs/README_JP.md)[한국어|](https://github.com/mldljyh/ko_gpt_academic)[Русский|](docs/README_RS.md)[Français](docs/README_FR.md) translated by this project itself.
-
-If you like this project, please give it a Star. If you've come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request. We also have a README in [English|](docs/README_EN.md)[日本語|](docs/README_JP.md)[Русский|](docs/README_RS.md)[Français](docs/README_FR.md) translated by this project itself.
 
 > **Note**
 >
@@ -12,34 +17,33 @@ If you like this project, please give it a Star. If you've come up with more use
 >
 > 2.本项目中每个文件的功能都在自译解[`self_analysis.md`](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A)详细说明。随着版本的迭代，您也可以随时自行点击相关函数插件，调用GPT重新生成项目的自我解析报告。常见问题汇总在[`wiki`](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98)当中。
 > 
-> 3.已支持OpenAI和API2D的api-key共存，可在配置文件中填写如`API_KEY="openai-key1,openai-key2,api2d-key3"`。需要临时更换`API_KEY`时，在输入区输入临时的`API_KEY`然后回车键提交后即可生效。
+> 3.本项目兼容并鼓励尝试国产大语言模型chatglm和RWKV, 盘古等等。已支持OpenAI和API2D的api-key共存，可在配置文件中填写如`API_KEY="openai-key1,openai-key2,api2d-key3"`。需要临时更换`API_KEY`时，在输入区输入临时的`API_KEY`然后回车键提交后即可生效。
 
 <div align="center">
-    
+
 功能 | 描述
 --- | ---
 一键润色 | 支持一键润色、一键查找论文语法错误
 一键中英互译 | 一键中英互译
 一键代码解释 | 显示代码、解释代码、生成代码、给代码加注释
 [自定义快捷键](https://www.bilibili.com/video/BV14s4y1E7jN) | 支持自定义快捷键
-[配置代理服务器](https://www.bilibili.com/video/BV1rc411W7Dr) | 支持配置代理服务器
+模块化设计 | 支持自定义强大的[函数插件](https://github.com/binary-husky/chatgpt_academic/tree/master/crazy_functions)，插件支持[热更新](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
-模块化设计 | 支持自定义高阶的函数插件与[函数插件]，插件支持[热更新](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)
 [自我程序剖析](https://www.bilibili.com/video/BV1cj411A7VW) | [函数插件] [一键读懂](https://github.com/binary-husky/chatgpt_academic/wiki/chatgpt-academic%E9%A1%B9%E7%9B%AE%E8%87%AA%E8%AF%91%E8%A7%A3%E6%8A%A5%E5%91%8A)本项目的源代码
 [程序剖析](https://www.bilibili.com/video/BV1cj411A7VW) | [函数插件] 一键可以剖析其他Python/C/C++/Java/Lua/...项目树
-读论文、翻译论文 | [函数插件] 一键解读latex/pdf论文全文并生成摘要
+读论文、[翻译](https://www.bilibili.com/video/BV1KT411x7Wn)论文 | [函数插件] 一键解读latex/pdf论文全文并生成摘要
-Latex全文翻译、润色 | [函数插件] 一键翻译或润色latex论文
+Latex全文[翻译](https://www.bilibili.com/video/BV1nk4y1Y7Js/)、[润色](https://www.bilibili.com/video/BV1FT411H7c5/) | [函数插件] 一键翻译或润色latex论文
-生成GPT分析报告 | [函数插件] 运行后自动生成总结汇报，支持一键导出html格式对话记录
+批量注释生成 | [函数插件] 一键批量生成函数注释
-Markdown中英互译 | [函数插件] 看到上面5种语言的[README](https://github.com/binary-husky/chatgpt_academic/blob/master/docs/README_EN.md)了吗？
+Markdown[中英互译](https://www.bilibili.com/video/BV1yo4y157jV/) | [函数插件] 看到上面5种语言的[README](https://github.com/binary-husky/chatgpt_academic/blob/master/docs/README_EN.md)了吗？
-[arxiv小助手](https://www.bilibili.com/video/BV1LM4y1279X) | [函数插件] 输入arxiv文章url即可一键翻译摘要+下载PDF
+chat分析报告生成 | [函数插件] 运行后自动生成总结汇报
 [PDF论文全文翻译功能](https://www.bilibili.com/video/BV1KT411x7Wn) | [函数插件] PDF论文提取题目&摘要+翻译全文（多线程）
-[谷歌学术统合小助手](https://www.bilibili.com/video/BV19L411U7ia) | [函数插件] 给定任意谷歌学术搜索页面的URL，让GPT帮你写Related Works
+[Arxiv小助手](https://www.bilibili.com/video/BV1LM4y1279X) | [函数插件] 输入arxiv文章url即可一键翻译摘要+下载PDF
-互联网信息聚合+GPT | [函数插件] 一键让ChatGPT先Google搜索，再回答问题，信息流永不过时
+[谷歌学术统合小助手](https://www.bilibili.com/video/BV19L411U7ia) | [函数插件] 给定任意谷歌学术搜索页面URL，让gpt帮你[写relatedworks](https://www.bilibili.com/video/BV1GP411U7Az/)
-公式/图片/表格显示 | 可以同时显示公式的tex形式和渲染形式，支持公式、代码高亮
+互联网信息聚合+GPT | [函数插件] 一键[让GPT先从互联网获取信息](https://www.bilibili.com/video/BV1om4y127ck)，再回答问题，让信息永不过时
-多线程函数插件支持 | 支持多线调用chatgpt，一键处理海量文本或程序
+公式/图片/表格显示 | 可以同时显示公式的[tex形式和渲染形式](https://user-images.githubusercontent.com/96192199/230598842-1d7fcddd-815d-40ee-af60-baf488a199df.png)，支持公式、代码高亮
+多线程函数插件支持 | 支持多线调用chatgpt，一键处理[海量文本](https://www.bilibili.com/video/BV1FT411H7c5/)或程序
 启动暗色gradio[主题](https://github.com/binary-husky/chatgpt_academic/issues/173) | 在浏览器url后面添加```/?__dark-theme=true```可以切换dark主题
 [多LLM模型](https://www.bilibili.com/video/BV1wT411p7yf)支持，[API2D](https://api2d.com/)接口支持 | 同时被GPT3.5、GPT4和[清华ChatGLM](https://github.com/THUDM/ChatGLM-6B)伺候的感觉一定会很不错吧？
-更多LLM模型接入 | 新加入Newbing测试接口(新必应AI)
+更多LLM模型接入，支持[huggingface部署](https://huggingface.co/spaces/qingxu98/gpt-academic) | 新加入Newbing测试接口(新必应AI)
-huggingface免科学上网[在线体验](https://huggingface.co/spaces/qingxu98/gpt-academic) | 登陆huggingface后复制[此空间](https://huggingface.co/spaces/qingxu98/gpt-academic)
 …… | ……
 
 </div>
@@ -76,9 +80,6 @@ huggingface免科学上网[在线体验](https://huggingface.co/spaces/qingxu98/
 <img src="https://user-images.githubusercontent.com/96192199/232537274-deca0563-7aa6-4b5d-94a2-b7c453c47794.png" width="700" >
 </div>
 
-多种大语言模型混合调用[huggingface测试版](https://huggingface.co/spaces/qingxu98/academic-chatgpt-beta)（huggingface版不支持chatglm）
-
-
 ---
 
 ## 安装-方法1：直接运行 (Windows, Linux or MacOS)
@@ -89,20 +90,16 @@ git clone https://github.com/binary-husky/chatgpt_academic.git
 cd chatgpt_academic
 ```
 
-2. 配置API_KEY和代理设置
+2. 配置API_KEY
+
+在`config.py`中，配置API KEY等设置，[特殊网络环境设置](https://github.com/binary-husky/gpt_academic/issues/1) 。
 
-在`config.py`中，配置 海外Proxy 和 OpenAI API KEY，说明如下
-```
-1. 如果你在国内，需要设置海外代理才能够顺利使用OpenAI API，设置方法请仔细阅读config.py（1.修改其中的USE_PROXY为True; 2.按照说明修改其中的proxies）。
-2. 配置 OpenAI API KEY。支持任意数量的OpenAI的密钥和API2D的密钥共存/负载均衡，多个KEY用英文逗号分隔即可，例如输入 API_KEY="OpenAI密钥1,API2D密钥2,OpenAI密钥3,OpenAI密钥4"
-3. 与代理网络有关的issue（网络超时、代理不起作用）汇总到 https://github.com/binary-husky/chatgpt_academic/issues/1
-```
 （P.S. 程序运行时会优先检查是否存在名为`config_private.py`的私密配置文件，并用其中的配置覆盖`config.py`的同名配置。因此，如果您能理解我们的配置读取逻辑，我们强烈建议您在`config.py`旁边创建一个名为`config_private.py`的新配置文件，并把`config.py`中的配置转移（复制）到`config_private.py`中。`config_private.py`不受git管控，可以让您的隐私信息更加安全。）
 
 
 3. 安装依赖
 ```sh
-# （选择I: 如熟悉python）推荐
+# （选择I: 如熟悉python）（python版本3.9以上，越新越好）
 python -m pip install -r requirements.txt
 # 备注：使用官方pip源或者阿里pip源，其他pip源（如一些大学的pip）有可能出问题，临时换源方法：python -m pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
 
@@ -115,6 +112,10 @@ python -m pip install -r requirements.txt
 如果需要支持清华ChatGLM后端，需要额外安装更多依赖（前提条件：熟悉python + 电脑配置够强）：
 ```sh
 python -m pip install -r request_llm/requirements_chatglm.txt
+
+# 备注：如果遇到"Call ChatGLM fail 不能正常加载ChatGLM的参数" 错误，参考如下：
+# 1：以上默认安装的为torch+cpu版，使用cuda需要卸载torch重新安装torch+cuda
+# 2：如因本机配置不够无法加载模型，可以修改request_llm/bridge_chatglm.py中的模型精度, 将 AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True) 都修改为 AutoTokenizer.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True)
 ```
 
 4. 运行
@@ -124,14 +125,8 @@ python main.py
 
 5. 测试函数插件
 ```
-- 测试Python项目分析
-    （选择1）input区域 输入 `./crazy_functions/test_project/python/dqn` ， 然后点击 "解析整个Python项目"
-    （选择2）展开文件上传区，将python文件/包含python文件的压缩包拖拽进去，在出现反馈提示后， 然后点击 "解析整个Python项目"
-- 测试自我代码解读（本项目自译解）
-    点击 "[多线程Demo] 解析此项目本身（源码自译解）"
 - 测试函数插件模板函数（要求gpt回答历史上的今天发生了什么），您可以根据此函数为模板，实现更复杂的功能
     点击 "[函数插件模板Demo] 历史上的今天"
-- 函数插件区下拉菜单中有更多功能可供选择
 ```
 
 ## 安装-方法2：使用Docker
@@ -142,7 +137,7 @@ python main.py
 # 下载项目
 git clone https://github.com/binary-husky/chatgpt_academic.git
 cd chatgpt_academic
-# 配置 “海外Proxy”， “API_KEY” 以及 “WEB_PORT” (例如50923) 等
+# 配置 “Proxy”， “API_KEY” 以及 “WEB_PORT” (例如50923) 等
 用任意文本编辑器编辑 config.py
 # 安装
 docker build -t gpt-academic .
@@ -165,26 +160,30 @@ docker run --rm -it --net=host --gpus=all gpt-academic
 docker run --rm -it --net=host --gpus=all gpt-academic bash
 ```
 
+3. ChatGPT + LLAMA + 盘古 + RWKV（需要精通Docker）
+``` sh
+1. 修改docker-compose.yml，删除方案一和方案二，保留方案三（基于jittor）
+2. 修改docker-compose.yml中方案三的配置，参考其中注释即可
+3. 终端运行 docker-compose up
+```
 
-## 安装-方法3：其他部署方式（需要云服务器知识与经验）
 
-1. 远程云服务器部署
+## 安装-方法3：其他部署姿势
+
+1. 如何使用反代URL/微软云AzureAPI
+按照`config.py`中的说明配置API_URL_REDIRECT即可。
+
+2. 远程云服务器部署（需要云服务器知识与经验）
 请访问[部署wiki-1](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BA%91%E6%9C%8D%E5%8A%A1%E5%99%A8%E8%BF%9C%E7%A8%8B%E9%83%A8%E7%BD%B2%E6%8C%87%E5%8D%97)
 
-2. 使用WSL2（Windows Subsystem for Linux 子系统）
+3. 使用WSL2（Windows Subsystem for Linux 子系统）
 请访问[部署wiki-2](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BD%BF%E7%94%A8WSL2%EF%BC%88Windows-Subsystem-for-Linux-%E5%AD%90%E7%B3%BB%E7%BB%9F%EF%BC%89%E9%83%A8%E7%BD%B2)
 
-3. 如何在二级网址（如`http://localhost/subpath`）下运行
+4. 如何在二级网址（如`http://localhost/subpath`）下运行
 请访问[FastAPI运行说明](docs/WithFastapi.md)
 
-## 安装-代理配置
+5. 使用docker-compose运行
-1. 常规方法
+请阅读docker-compose.yml后，按照其中的提示操作即可
-[配置代理](https://github.com/binary-husky/chatgpt_academic/issues/1)
-
-2. 纯新手教程
-[纯新手教程](https://github.com/binary-husky/chatgpt_academic/wiki/%E4%BB%A3%E7%90%86%E8%BD%AF%E4%BB%B6%E9%97%AE%E9%A2%98%E7%9A%84%E6%96%B0%E6%89%8B%E8%A7%A3%E5%86%B3%E6%96%B9%E6%B3%95%EF%BC%88%E6%96%B9%E6%B3%95%E5%8F%AA%E9%80%82%E7%94%A8%E4%BA%8E%E6%96%B0%E6%89%8B%EF%BC%89)
-
-
 ---
 
 ## 自定义新的便捷按钮 / 自定义函数插件
@@ -211,74 +210,48 @@ docker run --rm -it --net=host --gpus=all gpt-academic bash
 本项目的插件编写、调试难度很低，只要您具备一定的python基础知识，就可以仿照我们提供的模板实现自己的插件功能。
 详情请参考[函数插件指南](https://github.com/binary-husky/chatgpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%BB%B6%E6%8C%87%E5%8D%97)。
 
-
 ---
 
+## 其他功能说明
 
-## 部分功能展示
+1. 对话保存功能。在函数插件区调用 `保存当前的对话` 即可将当前对话保存为可读+可复原的html文件，如图：
-
-1. 图片显示：
-
 <div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/228737599-bf0a9d9c-1808-4f43-ae15-dfcc7af0f295.png" width="800" >
+<img src="https://user-images.githubusercontent.com/96192199/235222390-24a9acc0-680f-49f5-bc81-2f3161f1e049.png" width="500" >
 </div>
 
-2. 本项目的代码自译解（如果一个程序能够读懂并剖析自己）：
+在函数插件区（下拉菜单）调用 `载入对话历史存档` ，即可还原之前的会话。
 
-<div align="center">
+2. 生成报告。大部分插件都会在执行结束后，生成工作报告
-<img src="https://user-images.githubusercontent.com/96192199/226936850-c77d7183-0749-4c1c-9875-fd4891842d0c.png" width="800" >
-</div>
-
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226936618-9b487e4b-ab5b-4b6e-84c6-16942102e917.png" width="800" >
-</div>
-
-3. 其他任意Python/Cpp/Java/Go/Rect/...项目剖析：
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="800" >
-</div>
-
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/226969067-968a27c1-1b9c-486b-8b81-ab2de8d3f88a.png" width="800" >
-</div>
-
-4. Latex论文一键阅读理解与摘要生成
-<div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/227504406-86ab97cd-f208-41c3-8e4a-7000e51cf980.png" width="800" >
-</div>
-
-5. 自动报告生成
 <div align="center">
 <img src="https://user-images.githubusercontent.com/96192199/227503770-fe29ce2c-53fd-47b0-b0ff-93805f0c2ff4.png" height="300" >
 <img src="https://user-images.githubusercontent.com/96192199/227504617-7a497bb3-0a2a-4b50-9a8a-95ae60ea7afd.png" height="300" >
 <img src="https://user-images.githubusercontent.com/96192199/227504005-efeaefe0-b687-49d0-bf95-2d7b7e66c348.png" height="300" >
 </div>
 
-6. 模块化功能设计
+3. 模块化功能设计，简单的接口却能支持强大的功能
 <div align="center">
 <img src="https://user-images.githubusercontent.com/96192199/229288270-093643c1-0018-487a-81e6-1d7809b6e90f.png" height="400" >
 <img src="https://user-images.githubusercontent.com/96192199/227504931-19955f78-45cd-4d1c-adac-e71e50957915.png" height="400" >
 </div>
 
-
+4. 这是一个能够“自我译解”的开源项目
-7. 源代码转译英文
-
 <div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/229720562-fe6c3508-6142-4635-a83d-21eb3669baee.png" height="400" >
+<img src="https://user-images.githubusercontent.com/96192199/226936850-c77d7183-0749-4c1c-9875-fd4891842d0c.png" width="500" >
 </div>
 
-8. 互联网在线信息综合
+5. 译解其他开源项目，不在话下
-
 <div align="center">
-<img src="https://user-images.githubusercontent.com/96192199/233575247-fb00819e-6d1b-4bb7-bd54-1d7528f03dd9.png" width="800" >
+<img src="https://user-images.githubusercontent.com/96192199/226935232-6b6a73ce-8900-4aee-93f9-733c7e6fef53.png" width="500" >
-<img src="https://user-images.githubusercontent.com/96192199/233779501-5ce826f0-6cca-4d59-9e5f-b4eacb8cc15f.png" width="800" >
-
 </div>
 
+<div align="center">
+<img src="https://user-images.githubusercontent.com/96192199/226969067-968a27c1-1b9c-486b-8b81-ab2de8d3f88a.png" width="500" >
+</div>
 
-
+## 版本:
-## Todo 与 版本规划:
+- version 3.5(Todo): 使用自然语言调用本项目的所有函数插件（高优先级）
-- version 3.3+ (todo): NewBing支持
+- version 3.4(Todo): 完善chatglm本地大模型的多线支持
+- version 3.3: +互联网信息综合功能
 - version 3.2: 函数插件支持更多参数接口 (保存对话功能, 解读任意语言代码+同时询问任意的LLM组合)
 - version 3.1: 支持同时问询多个gpt模型！支持api2d，支持多个apikey负载均衡
 - version 3.0: 对chatglm和其他小型llm的支持
@@ -291,7 +264,8 @@ docker run --rm -it --net=host --gpus=all gpt-academic bash
 - version 2.0: 引入模块化函数插件
 - version 1.0: 基础功能
 
-chatgpt_academic开发者QQ群：734063350
+gpt_academic开发者QQ群：734063350
+
 
 ## 参考与学习
 

check_proxy.py

@@ -56,22 +56,24 @@ def patch_and_restart(path):
     """
     一键更新协议：覆盖和重启
     """
-    import distutils
+    from distutils import dir_util
     import shutil
     import os
     import sys
     import time
+    import glob
     from colorful import print亮黄, print亮绿, print亮红
     # if not using config_private, move origin config.py as config_private.py
     if not os.path.exists('config_private.py'):
         print亮黄('由于您没有设置config_private.py私密配置，现将您的现有配置移动至config_private.py以防止配置丢失，',
               '另外您可以随时在history子文件夹下找回旧版的程序。')
         shutil.copyfile('config.py', 'config_private.py')
-    distutils.dir_util.copy_tree(path+'/chatgpt_academic-master', './')
+    path_new_version = glob.glob(path + '/*-master')[0]
-    import subprocess
+    dir_util.copy_tree(path_new_version, './')
     print亮绿('代码已经更新，即将更新pip包依赖……')
     for i in reversed(range(5)): time.sleep(1); print(i)
     try: 
+        import subprocess
         subprocess.check_call([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'])
     except:
         print亮红('pip包依赖安装出现问题，需要手动安装新增的依赖库 `python -m pip install -r requirements.txt`，然后在用常规的`python main.py`的方式启动。')

config.py

@@ -10,11 +10,11 @@ if USE_PROXY:
     # [地址] 懂的都懂，不懂就填localhost或者127.0.0.1肯定错不了（localhost意思是代理软件安装在本机上）
     # [端口] 在代理软件的设置里找。虽然不同的代理软件界面不一样，但端口号都应该在最显眼的位置上
 
-    # 代理网络的地址，打开你的科学上网软件查看代理的协议(socks5/http)、地址(localhost)和端口(11284)
+    # 代理网络的地址，打开你的*学*网软件查看代理的协议(socks5/http)、地址(localhost)和端口(11284)
     proxies = {
         #          [协议]://  [地址]  :[端口]
-        "http":  "socks5h://localhost:11284",
+        "http":  "socks5h://localhost:11284",  # 再例如  "http":  "http://127.0.0.1:7890",
-        "https": "socks5h://localhost:11284",
+        "https": "socks5h://localhost:11284",  # 再例如  "https": "http://127.0.0.1:7890",
     }
 else:
     proxies = None
@@ -33,6 +33,7 @@ CODE_HIGHLIGHT = True
 
 # 窗口布局
 LAYOUT = "LEFT-RIGHT"  # "LEFT-RIGHT"（左右布局） # "TOP-DOWN"（上下布局）
+DARK_MODE = True  # "LEFT-RIGHT"（左右布局） # "TOP-DOWN"（上下布局）
 
 # 发送请求到OpenAI后，等待多久判定为超时
 TIMEOUT_SECONDS = 30
@@ -53,12 +54,17 @@ LOCAL_MODEL_DEVICE = "cpu" # 可选 "cuda"
 # 设置gradio的并行线程数（不需要修改）
 CONCURRENT_COUNT = 100
 
+# 加一个看板娘装饰
+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 = []
 
 # 重新URL重新定向，实现更换API_URL的作用（常规情况下，不要修改!!）
-# 格式 {"https://api.openai.com/v1/chat/completions": "在这里填写重定向的api.openai.com的URL"}
+# （高危设置！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 {"https://api.openai.com/v1/chat/completions": "在这里填写重定向的api.openai.com的URL"} 
+# 例如 API_URL_REDIRECT = {"https://api.openai.com/v1/chat/completions": "https://ai.open.com/api/conversation"}
 API_URL_REDIRECT = {}
 
 # 如果需要在二级路径下运行（常规情况下，不要修改!!）（需要配合修改main.py才能生效!）
@@ -68,4 +74,4 @@ CUSTOM_PATH = "/"
 NEWBING_STYLE = "creative"  # ["creative", "balanced", "precise"]
 NEWBING_COOKIES = """
 your bing cookies here
-"""
+"""

crazy_functional.py

@@ -11,7 +11,7 @@ def get_crazy_functions():
     from crazy_functions.解析项目源代码 import 解析一个C项目
     from crazy_functions.解析项目源代码 import 解析一个Golang项目
     from crazy_functions.解析项目源代码 import 解析一个Java项目
-    from crazy_functions.解析项目源代码 import 解析一个Rect项目
+    from crazy_functions.解析项目源代码 import 解析一个前端项目
     from crazy_functions.高级功能函数模板 import 高阶功能模板函数
     from crazy_functions.代码重写为全英文_多线程 import 全项目切换英文
     from crazy_functions.Latex全文润色 import Latex英文润色
@@ -21,15 +21,23 @@ def get_crazy_functions():
     from crazy_functions.总结word文档 import 总结word文档
     from crazy_functions.解析JupyterNotebook import 解析ipynb文件
     from crazy_functions.对话历史存档 import 对话历史存档
+    from crazy_functions.对话历史存档 import 载入对话历史存档
+    from crazy_functions.对话历史存档 import 删除所有本地对话历史记录
+    
+    from crazy_functions.批量Markdown翻译 import Markdown英译中
     function_plugins = {
-
         "解析整个Python项目": {
             "Color": "stop",    # 按钮颜色
             "Function": HotReload(解析一个Python项目)
         },
-        "保存当前的对话": {
+        "载入对话历史存档（先上传存档或输入路径）": {
+            "Color": "stop",
             "AsButton":False,
-            "Function": HotReload(对话历史存档)
+            "Function": HotReload(载入对话历史存档)
+        },
+        "删除所有本地对话历史记录（请谨慎操作）": {
+            "AsButton":False,
+            "Function": HotReload(删除所有本地对话历史记录)
         },
         "[测试功能] 解析Jupyter Notebook文件": {
             "Color": "stop",
@@ -62,10 +70,10 @@ def get_crazy_functions():
             "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(解析一个Java项目)
         },
-        "解析整个React项目": {
+        "解析整个前端项目（js,ts,css等）": {
             "Color": "stop",  # 按钮颜色
             "AsButton": False,  # 加入下拉菜单中
-            "Function": HotReload(解析一个Rect项目)
+            "Function": HotReload(解析一个前端项目)
         },
         "解析整个Lua项目": {
             "Color": "stop",    # 按钮颜色
@@ -81,19 +89,29 @@ def get_crazy_functions():
             "Color": "stop",    # 按钮颜色
             "Function": HotReload(读文章写摘要)
         },
+        "Markdown/Readme英译中": {
+            # HotReload 的意思是热更新，修改函数插件代码后，不需要重启程序，代码直接生效
+            "Color": "stop",
+            "Function": HotReload(Markdown英译中)
+        },
         "批量生成函数注释": {
             "Color": "stop",    # 按钮颜色
+            "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(批量生成函数注释)
         },
+        "保存当前的对话": {
+            "Function": HotReload(对话历史存档)
+        },
         "[多线程Demo] 解析此项目本身（源码自译解）": {
+            "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(解析项目本身)
         },
-        "[多线程demo] 把本项目源代码切换成全英文": {
+        "[老旧的Demo] 把本项目源代码切换成全英文": {
             # HotReload 的意思是热更新，修改函数插件代码后，不需要重启程序，代码直接生效
             "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(全项目切换英文)
         },
-        "[函数插件模板Demo] 历史上的今天": {
+        "[插件demo] 历史上的今天": {
             # HotReload 的意思是热更新，修改函数插件代码后，不需要重启程序，代码直接生效
             "Function": HotReload(高阶功能模板函数)
         },
@@ -110,7 +128,6 @@ def get_crazy_functions():
     from crazy_functions.Latex全文翻译 import Latex中译英
     from crazy_functions.Latex全文翻译 import Latex英译中
     from crazy_functions.批量Markdown翻译 import Markdown中译英
-    from crazy_functions.批量Markdown翻译 import Markdown英译中
 
     function_plugins.update({
         "批量翻译PDF文档（多线程）": {
@@ -157,30 +174,25 @@ def get_crazy_functions():
             "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(Latex中文润色)
         },
-        "[测试功能] Latex项目全文中译英（输入路径或上传压缩包）": {
+        "Latex项目全文中译英（输入路径或上传压缩包）": {
             # HotReload 的意思是热更新，修改函数插件代码后，不需要重启程序，代码直接生效
             "Color": "stop",
             "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(Latex中译英)
         },
-        "[测试功能] Latex项目全文英译中（输入路径或上传压缩包）": {
+        "Latex项目全文英译中（输入路径或上传压缩包）": {
             # HotReload 的意思是热更新，修改函数插件代码后，不需要重启程序，代码直接生效
             "Color": "stop",
             "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(Latex英译中)
         },
-        "[测试功能] 批量Markdown中译英（输入路径或上传压缩包）": {
+        "批量Markdown中译英（输入路径或上传压缩包）": {
             # HotReload 的意思是热更新，修改函数插件代码后，不需要重启程序，代码直接生效
             "Color": "stop",
             "AsButton": False,  # 加入下拉菜单中
             "Function": HotReload(Markdown中译英)
         },
-        "[测试功能] 批量Markdown英译中（输入路径或上传压缩包）": {
+
-            # HotReload 的意思是热更新，修改函数插件代码后，不需要重启程序，代码直接生效
-            "Color": "stop",
-            "AsButton": False,  # 加入下拉菜单中
-            "Function": HotReload(Markdown英译中)
-        },
 
     })
 

crazy_functions/crazy_utils.py

@@ -172,7 +172,7 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
     if max_workers == -1: # 读取配置文件
         try: max_workers, = get_conf('DEFAULT_WORKER_NUM')
         except: max_workers = 8
-        if max_workers <= 0 or max_workers >= 20: max_workers = 8
+        if max_workers <= 0: max_workers = 3
     # 屏蔽掉 chatglm的多线程，可能会导致严重卡顿
     if not (llm_kwargs['llm_model'].startswith('gpt-') or llm_kwargs['llm_model'].startswith('api2d-')):
         max_workers = 1
@@ -563,3 +563,46 @@ def read_and_clean_pdf_text(fp):
         #    print亮绿('***************************')
 
     return meta_txt, page_one_meta
+
+
+def get_files_from_everything(txt, type): # type='.md'
+    """
+    这个函数是用来获取指定目录下所有指定类型（如.md）的文件，并且对于网络上的文件，也可以获取它。
+    下面是对每个参数和返回值的说明：
+    参数 
+    - txt: 路径或网址，表示要搜索的文件或者文件夹路径或网络上的文件。 
+    - type: 字符串，表示要搜索的文件类型。默认是.md。
+    返回值 
+    - success: 布尔值，表示函数是否成功执行。 
+    - file_manifest: 文件路径列表，里面包含以指定类型为后缀名的所有文件的绝对路径。 
+    - project_folder: 字符串，表示文件所在的文件夹路径。如果是网络上的文件，就是临时文件夹的路径。
+    该函数详细注释已添加，请确认是否满足您的需要。
+    """
+    import glob, os
+
+    success = True
+    if txt.startswith('http'):
+        # 网络的远程文件
+        import requests
+        from toolbox import get_conf
+        proxies, = get_conf('proxies')
+        r = requests.get(txt, proxies=proxies)
+        with open('./gpt_log/temp'+type, 'wb+') as f: f.write(r.content)
+        project_folder = './gpt_log/'
+        file_manifest = ['./gpt_log/temp'+type]
+    elif txt.endswith(type):
+        # 直接给定文件
+        file_manifest = [txt]
+        project_folder = os.path.dirname(txt)
+    elif os.path.exists(txt):
+        # 本地路径，递归搜索
+        project_folder = txt
+        file_manifest = [f for f in glob.glob(f'{project_folder}/**/*'+type, recursive=True)]
+        if len(file_manifest) == 0:
+            success = False
+    else:
+        project_folder = None
+        file_manifest = []
+        success = False
+
+    return success, file_manifest, project_folder

crazy_functions/对话历史存档.py

@@ -1,7 +1,8 @@
 from toolbox import CatchException, update_ui
 from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
+import re
 
-def write_chat_to_file(chatbot, file_name=None):
+def write_chat_to_file(chatbot, history=None, file_name=None):
     """
     将对话记录history以Markdown格式写入文件中。如果没有指定文件名，则使用当前时间生成文件名。
     """
@@ -11,20 +12,62 @@ def write_chat_to_file(chatbot, file_name=None):
         file_name = 'chatGPT对话历史' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.html'
     os.makedirs('./gpt_log/', exist_ok=True)
     with open(f'./gpt_log/{file_name}', 'w', encoding='utf8') as f:
+        from theme import advanced_css
+        f.write(f'<!DOCTYPE html><head><meta charset="utf-8"><title>对话历史</title><style>{advanced_css}</style></head>')
         for i, contents in enumerate(chatbot):
-            for content in contents:
+            for j, content in enumerate(contents):
                 try:    # 这个bug没找到触发条件，暂时先这样顶一下
                     if type(content) != str: content = str(content)
                 except:
                     continue
                 f.write(content)
-                f.write('\n\n')
+                if j == 0:
+                    f.write('<hr style="border-top: dotted 3px #ccc;">')
             f.write('<hr color="red"> \n\n')
-
+        f.write('<hr color="blue"> \n\n raw chat context:\n')
+        f.write('<code>')
+        for h in history:
+            f.write("\n>>>" + h)
+        f.write('</code>')
     res = '对话历史写入：' + os.path.abspath(f'./gpt_log/{file_name}')
     print(res)
     return res
 
+def gen_file_preview(file_name):
+    try:
+        with open(file_name, 'r', encoding='utf8') as f:
+            file_content = f.read()
+        # pattern to match the text between <head> and </head>
+        pattern = re.compile(r'<head>.*?</head>', flags=re.DOTALL)
+        file_content = re.sub(pattern, '', file_content)
+        html, history = file_content.split('<hr color="blue"> \n\n raw chat context:\n')
+        history = history.strip('<code>')
+        history = history.strip('</code>')
+        history = history.split("\n>>>")
+        return list(filter(lambda x:x!="", history))[0][:100]
+    except:
+        return ""
+
+def read_file_to_chat(chatbot, history, file_name):
+    with open(file_name, 'r', encoding='utf8') as f:
+        file_content = f.read()
+    # pattern to match the text between <head> and </head>
+    pattern = re.compile(r'<head>.*?</head>', flags=re.DOTALL)
+    file_content = re.sub(pattern, '', file_content)
+    html, history = file_content.split('<hr color="blue"> \n\n raw chat context:\n')
+    history = history.strip('<code>')
+    history = history.strip('</code>')
+    history = history.split("\n>>>")
+    history = list(filter(lambda x:x!="", history))
+    html = html.split('<hr color="red"> \n\n')
+    html = list(filter(lambda x:x!="", html))
+    chatbot.clear()
+    for i, h in enumerate(html):
+        i_say, gpt_say = h.split('<hr style="border-top: dotted 3px #ccc;">')
+        chatbot.append([i_say, gpt_say])
+    chatbot.append([f"存档文件详情？", f"[Local Message] 载入对话{len(html)}条，上下文{len(history)}条。"])
+    return chatbot, history    
+
 @CatchException
 def 对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
     """
@@ -37,6 +80,64 @@ def 对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_
     web_port        当前软件运行的端口号
     """
 
-    chatbot.append(("保存当前对话", f"[Local Message] {write_chat_to_file(chatbot)}"))
+    chatbot.append(("保存当前对话", 
+        f"[Local Message] {write_chat_to_file(chatbot, history)}，您可以调用“载入对话历史存档”还原当下的对话。\n警告！被保存的对话历史可以被使用该系统的任何人查阅。"))
     yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间，我们先及时地做一次界面更新
 
+def hide_cwd(str):
+    import os
+    current_path = os.getcwd()
+    replace_path = "."
+    return str.replace(current_path, replace_path)
+
+@CatchException
+def 载入对话历史存档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+    """
+    txt             输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
+    llm_kwargs      gpt模型参数，如温度和top_p等，一般原样传递下去就行
+    plugin_kwargs   插件模型的参数，暂时没有用武之地
+    chatbot         聊天显示框的句柄，用于显示给用户
+    history         聊天历史，前情提要
+    system_prompt   给gpt的静默提醒
+    web_port        当前软件运行的端口号
+    """
+    from .crazy_utils import get_files_from_everything
+    success, file_manifest, _ = get_files_from_everything(txt, type='.html')
+
+    if not success:
+        if txt == "": txt = '空空如也的输入栏'
+        import glob
+        local_history = "<br/>".join(["`"+hide_cwd(f)+f" ({gen_file_preview(f)})"+"`" for f in glob.glob(f'gpt_log/**/chatGPT对话历史*.html', recursive=True)])
+        chatbot.append([f"正在查找对话历史文件（html格式）: {txt}", f"找不到任何html文件: {txt}。但本地存储了以下历史文件，您可以将任意一个文件路径粘贴到输入区，然后重试：<br/>{local_history}"])
+        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+        return
+
+    try:
+        chatbot, history = read_file_to_chat(chatbot, history, file_manifest[0])
+        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+    except:
+        chatbot.append([f"载入对话历史文件", f"对话历史文件损坏！"])
+        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+        return
+
+@CatchException
+def 删除所有本地对话历史记录(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+    """
+    txt             输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
+    llm_kwargs      gpt模型参数，如温度和top_p等，一般原样传递下去就行
+    plugin_kwargs   插件模型的参数，暂时没有用武之地
+    chatbot         聊天显示框的句柄，用于显示给用户
+    history         聊天历史，前情提要
+    system_prompt   给gpt的静默提醒
+    web_port        当前软件运行的端口号
+    """
+
+    import glob, os
+    local_history = "<br/>".join(["`"+hide_cwd(f)+"`" for f in glob.glob(f'gpt_log/**/chatGPT对话历史*.html', recursive=True)])
+    for f in glob.glob(f'gpt_log/**/chatGPT对话历史*.html', recursive=True):
+        os.remove(f)
+    chatbot.append([f"删除所有历史对话文件", f"已删除<br/>{local_history}"])
+    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
+    return
+
+

crazy_functions/批量Markdown翻译.py

@@ -84,7 +84,33 @@ def 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
     yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
 
 
+def get_files_from_everything(txt):
+    import glob, os
 
+    success = True
+    if txt.startswith('http'):
+        # 网络的远程文件
+        txt = txt.replace("https://github.com/", "https://raw.githubusercontent.com/")
+        txt = txt.replace("/blob/", "/")
+        import requests
+        from toolbox import get_conf
+        proxies, = get_conf('proxies')
+        r = requests.get(txt, proxies=proxies)
+        with open('./gpt_log/temp.md', 'wb+') as f: f.write(r.content)
+        project_folder = './gpt_log/'
+        file_manifest = ['./gpt_log/temp.md']
+    elif txt.endswith('.md'):
+        # 直接给定文件
+        file_manifest = [txt]
+        project_folder = os.path.dirname(txt)
+    elif os.path.exists(txt):
+        # 本地路径，递归搜索
+        project_folder = txt
+        file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.md', recursive=True)]
+    else:
+        success = False
+
+    return success, file_manifest, project_folder
 
 
 @CatchException
@@ -98,6 +124,7 @@ def Markdown英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
     # 尝试导入依赖，如果缺少依赖，则给出安装建议
     try:
         import tiktoken
+        import glob, os
     except:
         report_execption(chatbot, history,
                          a=f"解析项目: {txt}",
@@ -105,19 +132,21 @@ def Markdown英译中(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         return
     history = []    # 清空历史，以免输入溢出
-    import glob, os
+
-    if os.path.exists(txt):
+    success, file_manifest, project_folder = get_files_from_everything(txt)
-        project_folder = txt
+
-    else:
+    if not success:
+        # 什么都没有
         if txt == "": txt = '空空如也的输入栏'
         report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         return
-    file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.md', recursive=True)]
+
     if len(file_manifest) == 0:
         report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         return
+
     yield from 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, language='en->zh')
 
 
@@ -135,6 +164,7 @@ def Markdown中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
     # 尝试导入依赖，如果缺少依赖，则给出安装建议
     try:
         import tiktoken
+        import glob, os
     except:
         report_execption(chatbot, history,
                          a=f"解析项目: {txt}",
@@ -142,18 +172,13 @@ def Markdown中译英(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_p
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         return
     history = []    # 清空历史，以免输入溢出
-    import glob, os
+    success, file_manifest, project_folder = get_files_from_everything(txt)
-    if os.path.exists(txt):
+    if not success:
-        project_folder = txt
+        # 什么都没有
-    else:
         if txt == "": txt = '空空如也的输入栏'
         report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}")
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         return
-    if txt.endswith('.md'):
-        file_manifest = [txt]
-    else:
-        file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.md', recursive=True)]
     if len(file_manifest) == 0:
         report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.md文件: {txt}")
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面

crazy_functions/解析项目源代码.py

@@ -1,5 +1,6 @@
 from toolbox import update_ui
 from toolbox import CatchException, report_execption, write_results_to_file
+from .crazy_utils import input_clipping
 
 def 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
     import os, copy
@@ -61,13 +62,15 @@ def 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs,
         previous_iteration_files.extend([os.path.relpath(fp, project_folder) for index, fp in enumerate(this_iteration_file_manifest)])
         previous_iteration_files_string = ', '.join(previous_iteration_files)
         current_iteration_focus = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(this_iteration_file_manifest)])
-        i_say = f'根据以上分析，对程序的整体功能和构架重新做出概括。然后用一张markdown表格整理每个文件的功能（包括{previous_iteration_files_string}）。'
+        i_say = f'用一张Markdown表格简要描述以下文件的功能：{previous_iteration_files_string}。根据以上分析，用一句话概括程序的整体功能。'
         inputs_show_user = f'根据以上分析，对程序的整体功能和构架重新做出概括，由于输入长度限制，可能需要分组处理，本组文件为 {current_iteration_focus} + 已经汇总的文件组。'
         this_iteration_history = copy.deepcopy(this_iteration_gpt_response_collection)
         this_iteration_history.append(last_iteration_result)
+        # 裁剪input
+        inputs, this_iteration_history_feed = input_clipping(inputs=i_say, history=this_iteration_history, max_token_limit=2560)
         result = 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,
+            inputs=inputs, inputs_show_user=inputs_show_user, llm_kwargs=llm_kwargs, chatbot=chatbot,
-            history=this_iteration_history,   # 迭代之前的分析
+            history=this_iteration_history_feed,   # 迭代之前的分析
             sys_prompt="你是一个程序架构分析师，正在分析一个项目的源代码。")
         report_part_2.extend([i_say, result])
         last_iteration_result = result
@@ -180,7 +183,7 @@ def 解析一个Java项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, sys
 
 
 @CatchException
-def 解析一个Rect项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+def 解析一个前端项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
     history = []  # 清空历史，以免输入溢出
     import glob, os
     if os.path.exists(txt):
@@ -194,9 +197,15 @@ def 解析一个Rect项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, sys
                     [f for f in glob.glob(f'{project_folder}/**/*.tsx', recursive=True)] + \
                     [f for f in glob.glob(f'{project_folder}/**/*.json', recursive=True)] + \
                     [f for f in glob.glob(f'{project_folder}/**/*.js', recursive=True)] + \
+                    [f for f in glob.glob(f'{project_folder}/**/*.vue', recursive=True)] + \
+                    [f for f in glob.glob(f'{project_folder}/**/*.less', recursive=True)] + \
+                    [f for f in glob.glob(f'{project_folder}/**/*.sass', recursive=True)] + \
+                    [f for f in glob.glob(f'{project_folder}/**/*.wxml', recursive=True)] + \
+                    [f for f in glob.glob(f'{project_folder}/**/*.wxss', recursive=True)] + \
+                    [f for f in glob.glob(f'{project_folder}/**/*.css', recursive=True)] + \
                     [f for f in glob.glob(f'{project_folder}/**/*.jsx', recursive=True)]
     if len(file_manifest) == 0:
-        report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何Rect文件: {txt}")
+        report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何前端相关文件: {txt}")
         yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
         return
     yield from 解析源代码新(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)

crazy_functions/谷歌检索小助手.py

@@ -70,6 +70,7 @@ def 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
     # 尝试导入依赖，如果缺少依赖，则给出安装建议
     try:
         import arxiv
+        import math
         from bs4 import BeautifulSoup
     except:
         report_execption(chatbot, history, 
@@ -80,23 +81,23 @@ def 谷歌检索小助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
 
     # 清空历史，以免输入溢出
     history = []
-
     meta_paper_info_list = yield from get_meta_information(txt, chatbot, history)
+    batchsize = 5
+    for batch in range(math.ceil(len(meta_paper_info_list)/batchsize)):
+        if len(meta_paper_info_list[:batchsize]) > 0:
+            i_say = "下面是一些学术文献的数据，提取出以下内容：" + \
+            "1、英文题目；2、中文题目翻译；3、作者；4、arxiv公开（is_paper_in_arxiv）；4、引用数量（cite）；5、中文摘要翻译。" + \
+            f"以下是信息源：{str(meta_paper_info_list[:batchsize])}" 
 
-    if len(meta_paper_info_list[:10]) > 0:
+            inputs_show_user = f"请分析此页面中出现的所有文章：{txt}，这是第{batch+1}批"
-        i_say = "下面是一些学术文献的数据，请从中提取出以下内容。" + \
+            gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
-        "1、英文题目；2、中文题目翻译；3、作者；4、arxiv公开（is_paper_in_arxiv）；4、引用数量（cite）；5、中文摘要翻译。" + \
+                inputs=i_say, inputs_show_user=inputs_show_user,
-        f"以下是信息源：{str(meta_paper_info_list[:10])}" 
+                llm_kwargs=llm_kwargs, chatbot=chatbot, history=[],
+                sys_prompt="你是一个学术翻译，请从数据中提取信息。你必须使用Markdown表格。你必须逐个文献进行处理。"
+            )
 
-        inputs_show_user = f"请分析此页面中出现的所有文章：{txt}"
+            history.extend([ f"第{batch+1}批", gpt_say ])
-        gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
+            meta_paper_info_list = meta_paper_info_list[batchsize:]
-            inputs=i_say, inputs_show_user=inputs_show_user, 
-            llm_kwargs=llm_kwargs, chatbot=chatbot, history=[], 
-            sys_prompt="你是一个学术翻译，请从数据中提取信息。你必须使用Markdown格式。你必须逐个文献进行处理。"
-        )
-
-        history.extend([ "第一批", gpt_say ])
-        meta_paper_info_list = meta_paper_info_list[10:]
 
     chatbot.append(["状态？", 
         "已经全部完成，您可以试试让AI写一个Related Works，例如您可以继续输入Write a \"Related Works\" section about \"你搜索的研究领域\" for me."])

docker-compose.yml

@@ -0,0 +1,122 @@
+【请在修改完参数后，删除此行】请在以下方案中选择一种，然后删除其他的方案，最后docker-compose up运行
+
+## ===================================================
+## 【方案一】 如果不需要运行本地模型（仅chatgpt类远程服务）
+## ===================================================
+version: '3'
+services:
+  gpt_academic_nolocalllms:
+    image: fuqingxu/gpt_academic:no-local-llms        
+    environment:
+      # 请查阅 `config.py` 以查看所有的配置信息
+      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx  '
+      USE_PROXY:                '    True                                                                                           '
+      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }                 '
+      LLM_MODEL:                '    gpt-3.5-turbo                                                                                  '
+      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "api2d-gpt-4"]                                                               '
+      DEFAULT_WORKER_NUM:       '    10                                                                                             '
+      WEB_PORT:                 '    22303                                                                                          '
+      ADD_WAIFU:                '    True                                                                                           '
+      AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '
+
+    # 与宿主的网络融合
+    network_mode: "host"
+
+    # 不使用代理网络拉取最新代码
+    command: >
+      bash -c " echo '[gpt-academic] 正在从github拉取最新代码...' &&
+                git checkout master --force &&
+                git remote set-url origin https://github.com/binary-husky/chatgpt_academic.git &&
+                git pull &&
+                python3 -u main.py"
+
+
+### ===================================================
+### 【方案二】 如果需要运行ChatGLM本地模型
+### ===================================================
+version: '3'
+services:
+  gpt_academic_with_chatglm:
+    image: fuqingxu/gpt_academic:chatgpt-chatglm-newbing    # [option 2] 如果需要运行ChatGLM本地模型
+    environment:
+      # 请查阅 `config.py` 以查看所有的配置信息
+      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx  '
+      USE_PROXY:                '    True                                                                                           '
+      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }                 '
+      LLM_MODEL:                '    gpt-3.5-turbo                                                                                  '
+      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "api2d-gpt-4", "chatglm"]                                                    '
+      LOCAL_MODEL_DEVICE:       '    cuda                                                                                           '
+      DEFAULT_WORKER_NUM:       '    10                                                                                             '
+      WEB_PORT:                 '    12303                                                                                          '
+      ADD_WAIFU:                '    True                                                                                           '
+      AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '
+
+    # 显卡的使用，nvidia0指第0个GPU
+    runtime: nvidia
+    devices:
+      - /dev/nvidia0:/dev/nvidia0
+      
+    # 与宿主的网络融合
+    network_mode: "host"
+
+    # 使用代理网络拉取最新代码
+    # command: >
+    #   bash -c "       echo '[gpt-academic] 正在从github拉取最新代码...' &&
+    #                   truncate -s -1 /etc/proxychains.conf &&
+    #                   echo \"socks5 127.0.0.1 10880\" >> /etc/proxychains.conf &&
+    #                   proxychains git pull &&
+    #                   python3 -u main.py "
+
+    # 不使用代理网络拉取最新代码
+    command: >
+      bash -c " echo '[gpt-academic] 正在从github拉取最新代码...' &&
+                git pull &&
+                python3 -u main.py"
+
+
+### ===================================================
+### 【方案三】 如果需要运行ChatGPT + LLAMA + 盘古 + RWKV本地模型
+### ===================================================
+version: '3'
+services:
+  gpt_academic_with_rwkv:
+    image: fuqingxu/gpt_academic:jittorllms    # [option 2] 如果需要运行ChatGLM本地模型
+    environment:
+      # 请查阅 `config.py` 以查看所有的配置信息
+      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx  '
+      USE_PROXY:                '    True                                                                                           '
+      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }                 '
+      LLM_MODEL:                '    gpt-3.5-turbo                                                                                  '
+      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "api2d-gpt-4", "jittorllms_rwkv"]                                 '
+      LOCAL_MODEL_DEVICE:       '    cuda                                                                                           '
+      DEFAULT_WORKER_NUM:       '    10                                                                                             '
+      WEB_PORT:                 '    12305                                                                                          '
+      ADD_WAIFU:                '    True                                                                                           '
+      # AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '
+
+    # 显卡的使用，nvidia0指第0个GPU
+    runtime: nvidia
+    devices:
+      - /dev/nvidia0:/dev/nvidia0
+      
+    # 与宿主的网络融合
+    network_mode: "host"
+
+    # 使用代理网络拉取最新代码
+    # command: >
+    #   bash -c "       truncate -s -1 /etc/proxychains.conf &&
+    #                   echo \"socks5 127.0.0.1 10880\" >> /etc/proxychains.conf &&
+    #                   echo '[gpt-academic] 正在从github拉取最新代码...' &&
+    #                   proxychains git pull &&
+    #                   echo '[jittorllms] 正在从github拉取最新代码...' &&
+    #                   proxychains git --git-dir=request_llm/jittorllms/.git --work-tree=request_llm/jittorllms pull --force &&
+    #                   python3 -u main.py"
+
+    # 不使用代理网络拉取最新代码
+
+    command: >
+      bash -c "       echo '[gpt-academic] 正在从github拉取最新代码...' &&
+                      git pull &&
+                      echo '[jittorllms] 正在从github拉取最新代码...' &&
+                      git --git-dir=request_llm/jittorllms/.git --work-tree=request_llm/jittorllms pull --force &&
+                      python3 -u main.py"

docs/Dockerfile+ChatGLM

@@ -1,6 +1,6 @@
 # How to build | 如何构建: docker build -t gpt-academic --network=host  -f Dockerfile+ChatGLM .
-# How to run | 如何运行 (1) 直接运行（选择0号GPU）: docker run --rm -it --net=host --gpus="0" gpt-academic
+# How to run | (1) 我想直接一键运行（选择0号GPU）: docker run --rm -it --net=host --gpus \"device=0\" gpt-academic
-# How to run | 如何运行 (2) 我想运行之前进容器做一些调整: docker run --rm -it --net=host --gpus="0" gpt-academic bash
+# How to run | (2) 我想运行之前进容器做一些调整（选择1号GPU）: docker run --rm -it --net=host --gpus \"device=1\" gpt-academic bash
  
 # 从NVIDIA源，从而支持显卡运损（检查宿主的nvidia-smi中的cuda版本必须>=11.3）
 FROM nvidia/cuda:11.3.1-runtime-ubuntu20.04
@@ -14,6 +14,7 @@ RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing
 RUN $useProxyNetwork curl cip.cc
 RUN sed -i '$ d' /etc/proxychains.conf
 RUN sed -i '$ d' /etc/proxychains.conf
+# 在这里填写主机的代理协议（用于从github拉取代码）
 RUN echo "socks5 127.0.0.1 10880" >> /etc/proxychains.conf
 ARG useProxyNetwork=proxychains
 # # comment out above if you do not need proxy network | 如果不需要翻墙 - 从此行向上删除
@@ -21,14 +22,15 @@ ARG useProxyNetwork=proxychains
 
 # use python3 as the system default python
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
-
+# 下载pytorch
+RUN $useProxyNetwork python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
 # 下载分支
 WORKDIR /gpt
 RUN $useProxyNetwork git clone https://github.com/binary-husky/chatgpt_academic.git
 WORKDIR /gpt/chatgpt_academic
 RUN $useProxyNetwork python3 -m pip install -r requirements.txt
 RUN $useProxyNetwork python3 -m pip install -r request_llm/requirements_chatglm.txt
-RUN $useProxyNetwork python3 -m pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
+RUN $useProxyNetwork python3 -m pip install -r request_llm/requirements_newbing.txt
 
 # 预热CHATGLM参数（非必要 可选步骤）
 RUN echo ' \n\
@@ -48,6 +50,7 @@ RUN python3  -c 'from check_proxy import warm_up_modules; warm_up_modules()'
 # 可同时填写多个API-KEY，支持openai的key和api2d的key共存，用英文逗号分割，例如API_KEY = "sk-openaikey1,fkxxxx-api2dkey2,........"
 # LLM_MODEL 是选择初始的模型
 # LOCAL_MODEL_DEVICE 是选择chatglm等本地模型运行的设备，可选 cpu 和 cuda
+# [说明: 以下内容与`config.py`一一对应，请查阅config.py来完成一下配置的填写]
 RUN echo ' \n\
 API_KEY = "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx,fkxxxxxx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \n\
 USE_PROXY = True \n\

docs/self_analysis.md

@@ -157,7 +157,7 @@
 
 ## [22/31] 请对下面的程序文件做一个概述: H:\chatgpt_academic_resolve\crazy_functions\解析项目源代码.py
 
-这个程序文件实现了对一个源代码项目进行分析的功能。其中，函数`解析项目本身`、`解析一个Python项目`、`解析一个C项目的头文件`、`解析一个C项目`、`解析一个Java项目`和`解析一个Rect项目`分别用于解析不同类型的项目。函数`解析源代码新`实现了对每一个源代码文件的分析，并将分析结果汇总，同时还实现了分组和迭代处理，提高了效率。最后，函数`write_results_to_file`将所有分析结果写入文件。中间，还用到了`request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency`和`request_gpt_model_in_new_thread_with_ui_alive`来完成请求和响应，并用`update_ui`实时更新界面。
+这个程序文件实现了对一个源代码项目进行分析的功能。其中，函数`解析项目本身`、`解析一个Python项目`、`解析一个C项目的头文件`、`解析一个C项目`、`解析一个Java项目`和`解析前端项目`分别用于解析不同类型的项目。函数`解析源代码新`实现了对每一个源代码文件的分析，并将分析结果汇总，同时还实现了分组和迭代处理，提高了效率。最后，函数`write_results_to_file`将所有分析结果写入文件。中间，还用到了`request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency`和`request_gpt_model_in_new_thread_with_ui_alive`来完成请求和响应，并用`update_ui`实时更新界面。
 
 ## [23/31] 请对下面的程序文件做一个概述: H:\chatgpt_academic_resolve\crazy_functions\询问多个大语言模型.py
 

docs/test_markdown_format.py

@@ -0,0 +1,130 @@
+sample = """
+[1]: https://baike.baidu.com/item/%E8%B4%A8%E8%83%BD%E6%96%B9%E7%A8%8B/1884527 "质能方程（质能方程式）_百度百科"
+[2]: https://www.zhihu.com/question/348249281 "如何理解质能方程 E＝mc²？ - 知乎"
+[3]: https://zhuanlan.zhihu.com/p/32597385 "质能方程的推导与理解 - 知乎 - 知乎专栏"
+
+你好，这是必应。质能方程是描述质量与能量之间的当量关系的方程[^1^][1]。用tex格式，质能方程可以写成$$E=mc^2$$，其中$E$是能量，$m$是质量，$c$是光速[^2^][2] [^3^][3]。
+"""
+import re
+
+def preprocess_newbing_out(s):
+    pattern = r'\^(\d+)\^' # 匹配^数字^
+    pattern2 = r'\[(\d+)\]' # 匹配^数字^
+    sub = lambda m: '\['+m.group(1)+'\]' # 将匹配到的数字作为替换值
+    result = re.sub(pattern, sub, s) # 替换操作
+    if '[1]' in result:
+        result += '<br/><hr style="border-top: dotted 1px #44ac5c;"><br/><small>' + "<br/>".join([re.sub(pattern2, sub, r) for r in result.split('\n') if r.startswith('[')]) + '</small>'
+    return result
+
+
+def close_up_code_segment_during_stream(gpt_reply):
+    """
+    在gpt输出代码的中途（输出了前面的```，但还没输出完后面的```），补上后面的```
+
+    Args:
+        gpt_reply (str): GPT模型返回的回复字符串。
+
+    Returns:
+        str: 返回一个新的字符串，将输出代码片段的“后面的```”补上。
+
+    """
+    if '```' not in gpt_reply:
+        return gpt_reply
+    if gpt_reply.endswith('```'):
+        return gpt_reply
+
+    # 排除了以上两个情况，我们
+    segments = gpt_reply.split('```')
+    n_mark = len(segments) - 1
+    if n_mark % 2 == 1:
+        # print('输出代码片段中！')
+        return gpt_reply+'\n```'
+    else:
+        return gpt_reply
+    
+import markdown
+from latex2mathml.converter import convert as tex2mathml
+from functools import wraps, lru_cache
+def markdown_convertion(txt):
+    """
+    将Markdown格式的文本转换为HTML格式。如果包含数学公式，则先将公式转换为HTML格式。
+    """
+    pre = '<div class="markdown-body">'
+    suf = '</div>'
+    if txt.startswith(pre) and txt.endswith(suf):
+        # print('警告，输入了已经经过转化的字符串，二次转化可能出问题')
+        return txt # 已经被转化过，不需要再次转化
+    
+    markdown_extension_configs = {
+        'mdx_math': {
+            'enable_dollar_delimiter': True,
+            'use_gitlab_delimiters': False,
+        },
+    }
+    find_equation_pattern = r'<script type="math/tex(?:.*?)>(.*?)</script>'
+
+    def tex2mathml_catch_exception(content, *args, **kwargs):
+        try:
+            content = tex2mathml(content, *args, **kwargs)
+        except:
+            content = content
+        return content
+
+    def replace_math_no_render(match):
+        content = match.group(1)
+        if 'mode=display' in match.group(0):
+            content = content.replace('\n', '</br>')
+            return f"<font color=\"#00FF00\">$$</font><font color=\"#FF00FF\">{content}</font><font color=\"#00FF00\">$$</font>"
+        else:
+            return f"<font color=\"#00FF00\">$</font><font color=\"#FF00FF\">{content}</font><font color=\"#00FF00\">$</font>"
+
+    def replace_math_render(match):
+        content = match.group(1)
+        if 'mode=display' in match.group(0):
+            if '\\begin{aligned}' in content:
+                content = content.replace('\\begin{aligned}', '\\begin{array}')
+                content = content.replace('\\end{aligned}', '\\end{array}')
+                content = content.replace('&', ' ')
+            content = tex2mathml_catch_exception(content, display="block")
+            return content
+        else:
+            return tex2mathml_catch_exception(content)
+
+    def markdown_bug_hunt(content):
+        """
+        解决一个mdx_math的bug（单$包裹begin命令时多余<script>）
+        """
+        content = content.replace('<script type="math/tex">\n<script type="math/tex; mode=display">', '<script type="math/tex; mode=display">')
+        content = content.replace('</script>\n</script>', '</script>')
+        return content
+
+
+    if ('$' in txt) and ('```' not in txt):  # 有$标识的公式符号，且没有代码段```的标识
+        # convert everything to html format
+        split = markdown.markdown(text='---')
+        convert_stage_1 = markdown.markdown(text=txt, extensions=['mdx_math', 'fenced_code', 'tables', 'sane_lists'], extension_configs=markdown_extension_configs)
+        convert_stage_1 = markdown_bug_hunt(convert_stage_1)
+        # re.DOTALL: Make the '.' special character match any character at all, including a newline; without this flag, '.' will match anything except a newline. Corresponds to the inline flag (?s).
+        # 1. convert to easy-to-copy tex (do not render math)
+        convert_stage_2_1, n = re.subn(find_equation_pattern, replace_math_no_render, convert_stage_1, flags=re.DOTALL)
+        # 2. convert to rendered equation
+        convert_stage_2_2, n = re.subn(find_equation_pattern, replace_math_render, convert_stage_1, flags=re.DOTALL)
+        # cat them together
+        return pre + convert_stage_2_1 + f'{split}' + convert_stage_2_2 + suf
+    else:
+        return pre + markdown.markdown(txt, extensions=['fenced_code', 'codehilite', 'tables', 'sane_lists']) + suf
+
+
+sample = preprocess_newbing_out(sample)
+sample = close_up_code_segment_during_stream(sample)
+sample = markdown_convertion(sample)
+with open('tmp.html', 'w', encoding='utf8') as f:
+    f.write("""
+
+<head>
+    <title>My Website</title>
+    <link rel="stylesheet" type="text/css" href="style.css">
+</head>
+
+    """)
+    f.write(sample)

docs/waifu_plugin/autoload.js

@@ -0,0 +1,23 @@
+try {
+    $("<link>").attr({href: "file=docs/waifu_plugin/waifu.css", rel: "stylesheet", type: "text/css"}).appendTo('head');
+    $('body').append('<div class="waifu"><div class="waifu-tips"></div><canvas id="live2d" class="live2d"></canvas><div class="waifu-tool"><span class="fui-home"></span> <span class="fui-chat"></span> <span class="fui-eye"></span> <span class="fui-user"></span> <span class="fui-photo"></span> <span class="fui-info-circle"></span> <span class="fui-cross"></span></div></div>');
+    $.ajax({url: "file=docs/waifu_plugin/waifu-tips.js", dataType:"script", cache: true, success: function() {
+        $.ajax({url: "file=docs/waifu_plugin/live2d.js", dataType:"script", cache: true, success: function() {
+            /* 可直接修改部分参数 */
+            live2d_settings['hitokotoAPI'] = "hitokoto.cn";  // 一言 API
+            live2d_settings['modelId'] = 5;                  // 默认模型 ID
+            live2d_settings['modelTexturesId'] = 1;          // 默认材质 ID
+            live2d_settings['modelStorage'] = false;         // 不储存模型 ID
+            live2d_settings['waifuSize']            = '210x187';  
+            live2d_settings['waifuTipsSize']        = '187x52';  
+            live2d_settings['canSwitchModel']       = true;
+            live2d_settings['canSwitchTextures']    = true;
+            live2d_settings['canSwitchHitokoto']    = false;
+            live2d_settings['canTakeScreenshot']    = false;
+            live2d_settings['canTurnToHomePage']    = false;
+            live2d_settings['canTurnToAboutPage']   = false;
+            /* 在 initModel 前添加 */
+            initModel("file=docs/waifu_plugin/waifu-tips.json");
+        }});
+    }});
+} catch(err) { console.log("[Error] JQuery is not defined.") }

docs/waifu_plugin/flat-ui-icons-regular.svg

@@ -0,0 +1,126 @@
+<?xml version="1.0" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
+<svg xmlns="http://www.w3.org/2000/svg">
+<metadata>
+<json>
+{
+	"fontFamily": "flat-ui-icons",
+	"majorVersion": 1,
+	"minorVersion": 1,
+	"fontURL": "http://designmodo.com/flat",
+	"designer": "Sergey Shmidt",
+	"designerURL": "http://designmodo.com",
+	"license": "Attribution-NonCommercial-NoDerivs 3.0 Unported",
+	"licenseURL": "http://creativecommons.org/licenses/by-nc-nd/3.0/",
+	"version": "Version 1.1",
+	"fontId": "flat-ui-icons",
+	"psName": "flat-ui-icons",
+	"subFamily": "Regular",
+	"fullName": "flat-ui-icons",
+	"description": "Generated by IcoMoon"
+}
+</json>
+</metadata>
+<defs>
+<font id="flat-ui-icons" horiz-adv-x="1024">
+<font-face units-per-em="1024" ascent="960" descent="-64" />
+<missing-glyph horiz-adv-x="1024" />
+<glyph unicode="&#x20;" d="" horiz-adv-x="512" />
+<glyph unicode="&#xe600;" d="M896 192l-384 512-384-512h768z" />
+<glyph unicode="&#xe601;" d="M128 704l384-512 384 512h-768z" />
+<glyph unicode="&#xe602;" d="M896 256h-768l384 384 384-384z" />
+<glyph unicode="&#xe603;" d="M512 256l-384 384h768l-384-384z" />
+<glyph unicode="&#xe604;" d="M896 0l-768 448 768 448v-896z" />
+<glyph unicode="&#xe605;" d="M128 896l768-448-768-448v896z" />
+<glyph unicode="&#xe606;" d="M224.96 448.768l447.168 447.232 128-131.008-321.152-318.016 321.152-320.896-128.256-128.256-446.912 450.944z" />
+<glyph unicode="&#xe607;" d="M353.152-2.112l-128.192 128.256 321.088 320.896-321.152 317.952 128 131.008 447.168-447.232-446.912-450.88z" />
+<glyph unicode="&#xe608;" d="M928 351.936h-320v-319.936c0-35.392-28.608-64-64-64h-64c-35.328 0-64 28.608-64 64v319.936h-320c-35.328 0-64 28.736-64 64.064v64.064c0 35.328 28.672 63.872 64 63.872h320v320.064c0 35.328 28.672 64 64 64h64c35.392 0 64-28.672 64-64v-320.064h320c35.392 0 64-28.544 64-63.872v-64.064c0-35.328-28.608-64.064-64-64.064z" />
+<glyph unicode="&#xe609;" d="M919.808 764.032c12.48-12.416 12.48-32.832 0-45.248l-248.896-249.024c-12.352-12.416-12.352-32.832 0-45.312l248.768-249.088c12.48-12.416 12.48-32.832 0-45.248l-90.624-90.432c-12.352-12.416-32.768-12.416-45.248 0l-248.64 249.088c-12.416 12.416-32.832 12.416-45.248 0l-248.896-248.896c-12.416-12.48-32.832-12.48-45.248 0l-90.496 90.624c-12.416 12.352-12.416 32.768 0 45.248l248.96 248.896c12.416 12.416 12.416 32.832 0 45.312l-248.768 249.024c-12.416 12.48-12.416 32.832 0 45.248l90.56 90.496c12.416 12.416 32.832 12.416 45.248 0l248.64-249.024c12.416-12.48 32.832-12.48 45.248-0.064l248.832 248.96c12.48 12.352 32.896 12.352 45.248 0l90.56-90.56z" />
+<glyph unicode="&#xe60a;" d="M923.136 822.592c-12.352 12.544-32.768 12.544-45.12 0l-476.16-474.496c-12.48-12.544-32.832-12.544-45.248 0l-208.64 212.736c-6.144 6.208-14.272 9.408-22.336 9.472-8.256 0-16.576-3.008-22.848-9.472l-92.16-83.008c-6.144-6.272-9.472-14.144-9.472-22.336 0-8.32 3.328-17.024 9.472-23.232l210.368-220.992c12.416-12.48 32.832-33.024 45.248-45.632l90.432-91.264c12.416-12.48 32.768-12.48 45.248 0l611.712 611.328c12.48 12.48 12.48 33.088 0 45.632l-90.496 91.264z" />
+<glyph unicode="&#xe60b;" d="M512 960c-281.6 0-512-230.4-512-512s230.4-512 512-512 512 230.4 512 512c0 281.6-230.4 512-512 512zM512 140.8c-168.96 0-307.2 138.24-307.2 307.2s138.24 307.2 307.2 307.2c168.96 0 307.2-138.24 307.2-307.2 0-168.96-138.24-307.2-307.2-307.2z" />
+<glyph unicode="&#xe60c;" d="M512 960c-281.6 0-512-230.4-512-512s230.4-512 512-512 512 230.4 512 512c0 281.6-230.4 512-512 512zM512 140.8c-168.96 0-307.2 138.24-307.2 307.2s138.24 307.2 307.2 307.2c168.96 0 307.2-138.24 307.2-307.2 0-168.96-138.24-307.2-307.2-307.2zM512 601.6c-87.040 0-153.6-66.56-153.6-153.6s66.56-153.6 153.6-153.6 153.6 66.56 153.6 153.6c0 87.040-66.56 153.6-153.6 153.6z" />
+<glyph unicode="&#xe60d;" d="M256 960h512c143.36 0 256-112.64 256-256v-512c0-143.36-112.64-256-256-256h-512c-143.36 0-256 112.64-256 256v512c0 143.36 112.64 256 256 256z" />
+<glyph unicode="&#xe60e;" d="M768 960h-512c-143.36 0-256-112.64-256-256v-512c0-143.36 112.64-256 256-256h512c143.36 0 256 112.64 256 256v512c0 143.36-112.64 256-256 256zM844.8 550.4l-368.64-368.64c-5.12-5.12-20.48-5.12-25.6 0l-56.32 56.32c-5.12 5.12-20.48 20.48-25.6 25.6l-128 133.12c-5.12 5.12-5.12 10.24-5.12 15.36s0 10.24 5.12 15.36l56.32 51.2c5.12 0 10.24 5.12 10.24 5.12 5.12 0 10.24 0 15.36-5.12l122.88-128c5.12-5.12 20.48-5.12 25.6 0l286.72 286.72c5.12 5.12 20.48 5.12 25.6 0l56.32-56.32c10.24-10.24 10.24-20.48 5.12-30.72z" />
+<glyph unicode="&#xe60f;" d="M512 960c-282.752 0-512-229.248-512-512 0-282.688 229.248-512 512-512 282.816 0 512 229.248 512 512 0 282.752-229.184 512-512 512zM576.768 195.136c0-37.056-28.992-67.072-64.768-67.072s-64.768 30.016-64.768 67.072v313.088c0 37.056 28.992 67.072 64.768 67.072s64.768-30.016 64.768-67.072v-313.088zM512 640.32c-35.776 0-64.768 28.608-64.768 63.872s28.992 63.744 64.768 63.744 64.768-28.544 64.768-63.808-28.992-63.808-64.768-63.808z" />
+<glyph unicode="&#xe610;" d="M512 960c-282.752 0-512-229.248-512-512s229.248-512 512-512c282.752 0 512 229.248 512 512 0 282.752-229.248 512-512 512zM512 128.064c-35.776 0-64.768 28.544-64.768 63.808 0 35.2 28.992 63.808 64.768 63.808 35.776 0 64.768-28.608 64.768-63.808 0-35.264-28.992-63.808-64.768-63.808zM576.768 387.776c0-37.056-28.992-67.072-64.768-67.072-35.776 0-64.768 30.080-64.768 67.072v313.088c0 37.056 28.992 67.072 64.768 67.072 35.776 0 64.768-30.080 64.768-67.072v-313.088z" />
+<glyph unicode="&#xe611;" d="M512-64c-282.752 0-512 229.248-512 512 0 282.688 229.248 512 512 512 282.752 0 512-229.248 512-512 0-282.752-229.248-512-512-512zM512 128.064c35.776 0 64.768 28.544 64.768 63.808 0 35.2-28.992 63.808-64.768 63.808-35.776 0-64.768-28.608-64.768-63.808 0-35.264 28.992-63.808 64.768-63.808zM650.752 724.288c-33.92 27.904-82.24 43.456-140.032 43.456-42.56 0-78.912-7.68-110.144-20.16-16.576-6.72-69.632-39.68-80.64-48.896l32.384-48.32c5.312-9.344 13.952-14.080 25.92-14.080 4.992 0 10.624 1.984 16.96 5.888 4.608 2.88 41.088 21.696 56.512 26.368 32.32 9.6 67.84 5.696 84.16 0.64 22.272-6.848 38.4-19.904 47.36-37.76 5.888-11.776 13.376-44.16-4.224-74.432-14.656-25.088-37.568-44.16-62.848-61.056-13.504-9.216-26.048-18.624-37.376-28.416-0.512 0-1.792-0.96-4.672-3.52 1.408 1.216 3.264 2.304 4.672 3.52 3.2 0.128-30.784-43.328-30.784-83.52 0-42.88 0-64 0-64h128v64c0 33.28 16.128 51.968 16.448 56.704 11.008 7.872 61.056 46.144 72.96 59.904 22.208 25.6 38.592 59.392 38.592 107.008 0 48.832-19.392 88.832-53.248 116.672z" />
+<glyph unicode="&#xe612;" d="M512 960c-282.752 0-512-229.184-512-511.936 0-282.816 229.248-512.064 512-512.064 282.752 0 512 229.248 512 512.064 0 282.752-229.248 511.936-512 511.936zM842.88 552.128l-367.296-367.232c-7.488-7.488-19.712-7.488-27.136 0l-54.272 54.784c-7.424 7.552-19.712 19.904-27.136 27.392l-126.336 132.8c-3.712 3.712-5.696 8.96-5.696 13.888 0 4.992 1.984 9.728 5.696 13.504l55.36 49.92c3.776 3.84 8.768 5.632 13.696 5.632 4.864-0.064 9.728-1.984 13.44-5.632l125.248-127.872c7.488-7.616 19.648-7.616 27.136 0l285.888 285.12c7.424 7.488 19.712 7.488 27.136 0l54.336-54.912c7.424-7.488 7.424-19.84-0.064-27.392z" />
+<glyph unicode="&#xe613;" d="M874.048 810.048c-199.936 200-524.096 199.936-724.096 0-199.936-199.872-199.936-524.096 0.064-724.032 199.936-199.936 524.096-199.936 724.032-0.064 200 199.936 200 524.16 0 724.096zM747.2 309.056c27.52-27.52 28.224-71.296 1.728-97.856-26.56-26.56-70.4-25.728-97.792 1.728l-139.072 139.008-139.584-139.584c-27.52-27.456-71.296-28.224-97.792-1.728-26.56 26.56-25.728 70.4 1.664 97.856l139.648 139.584-139.648 139.648c-27.456 27.392-28.224 71.168-1.664 97.728 26.496 26.56 70.336 25.792 97.792-1.664l139.584-139.584 139.072 139.072c27.456 27.456 71.232 28.224 97.792 1.664 26.496-26.56 25.728-70.336-1.728-97.792l-139.008-139.072 139.008-139.008z" />
+<glyph unicode="&#xe614;" d="M512 960.064c-282.752 0-512-229.312-512-512.064 0-282.816 229.248-512.064 512-512.064s512 229.248 512 512.064c0 282.752-229.248 512.064-512 512.064zM764.224 383.296h-187.392v-187.52c0-36.992-28.992-67.072-64.768-67.072s-64.768 30.080-64.768 67.072v187.52h-188.16c-36.992 0-67.072 28.928-67.072 64.704s30.080 64.768 67.072 64.768h188.16v188.16c0 37.056 28.992 67.072 64.768 67.072s64.768-30.016 64.768-67.072v-188.16h187.456c37.056 0 67.072-29.056 67.072-64.768s-30.016-64.704-67.136-64.704z" />
+<glyph unicode="&#xe615;" d="M288 960h-192c-35.328 0-64-28.608-64-64v-896c0-35.392 28.672-64 64-64h192c35.328 0 64 28.608 64 64v896c0 35.392-28.672 64-64 64zM928 960h-192c-35.392 0-64-28.608-64-64v-896c0-35.392 28.608-64 64-64h192c35.392 0 64 28.608 64 64v896c0 35.392-28.608 64-64 64z" />
+<glyph unicode="&#xe616;" d="M880 475.776l-832 480c-9.856 5.696-22.144 5.696-32 0-9.856-5.76-16-16.32-16-27.776v-960c0-11.456 6.144-22.016 16-27.712 4.928-2.88 10.496-4.288 16-4.288s11.072 1.408 16 4.288l832 480c9.856 5.696 16 16.256 16 27.712s-6.144 22.016-16 27.776z" />
+<glyph unicode="&#xe617;" d="M493.184 896c-48.384 0-63.040-27.84-63.040-27.84s-183.104-216.192-266.56-216.192c-82.176 0-81.344 0-81.344 0-45.44 0-82.24-36.416-82.24-81.28v-244.096c0-44.928 36.8-81.28 82.176-81.28 0 0 1.344 0 82.176 0 81.024 0 269.568-218.88 269.568-218.88 14.912-15.488 35.904-25.152 59.264-25.152 45.376 0 82.176 36.352 82.176 81.28v732.096c0 44.928-36.8 81.344-82.176 81.344zM843.968 817.728l-47.424-70.976c86.656-70.4 142.208-177.728 142.208-298.176s-55.488-227.84-142.208-298.112l47.424-70.976c109.44 85.888 180.032 219.136 180.032 369.088 0 150.016-70.592 283.2-180.032 369.152zM748.8 675.328l-47.872-71.68c41.344-38.912 67.392-93.76 67.392-155.072s-26.048-116.096-67.392-155.072l47.872-71.616c63.872 54.72 104.576 136 104.576 226.688 0 90.816-40.704 171.968-104.576 226.752z" />
+<glyph unicode="&#xe618;" d="M492.8 896c-51.2 0-64-25.6-64-25.6s-179.2-217.6-262.4-217.6c-83.2 0-83.2 0-83.2 0-44.8 0-83.2-38.4-83.2-83.2v-243.2c0-44.8 38.4-83.2 83.2-83.2 0 0 0 0 83.2 0 83.2 0 268.8-217.6 268.8-217.6 12.8-12.8 32-25.6 57.6-25.6 44.8 0 83.2 38.4 83.2 83.2v729.6c0 44.8-38.4 83.2-83.2 83.2z" />
+<glyph unicode="&#xe619;" d="M832 640l-213.056-208.448-125.696 125.696 210.752 210.688-160 160.064h448v-448l-160 160zM526.976 342.528l-206.976-202.496 167.488-172.032h-455.488v452.288l160-164.288 210.752 210.752 124.224-124.224z" />
+<glyph unicode="&#xe61a;" d="M991.936 863.36h-959.872c-17.6 0-32-15.36-32-34.176v-124.672c0-18.048 14.4-32.832 32-32.832h959.872c17.6 0 32 14.72 32 32.832v124.672c0 18.816-14.4 34.176-32 34.176zM991.936 543.36h-959.872c-17.6 0-32-15.36-32-34.24v-124.608c0-18.112 14.4-32.832 32-32.832h959.872c17.6 0 32 14.72 32 32.832v124.672c0 18.816-14.4 34.176-32 34.176zM991.936 223.36h-959.872c-17.6 0-32-15.36-32-34.24v-124.608c0-17.984 14.4-32.768 32-32.768h959.872c17.6 0 32 14.72 32 32.768v124.608c0 18.88-14.4 34.24-32 34.24z" />
+<glyph unicode="&#xe61b;" d="M352 896h-320c-19.2 0-32-12.8-32-32v-320c0-19.2 12.8-32 32-32h320c19.2 0 32 12.8 32 32v320c0 19.2-12.8 32-32 32zM352 384h-320c-19.2 0-32-12.8-32-32v-320c0-19.2 12.8-32 32-32h320c19.2 0 32 12.8 32 32v320c0 19.2-12.8 32-32 32zM992 896h-448c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h448c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 640h-448c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h448c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 384h-448c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h448c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 128h-448c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h448c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32z" />
+<glyph unicode="&#xe61c;" d="M288 896h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM288 576h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM608 896h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM608 576h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM928 896h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM928 576h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM288 256h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM608 256h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32zM928 256h-192c-19.2 0-32-12.8-32-32v-192c0-19.2 12.8-32 32-32h192c19.2 0 32 12.8 32 32v192c0 19.2-12.8 32-32 32z" />
+<glyph unicode="&#xe61d;" d="M416 960h-384c-19.2 0-32-12.8-32-32v-384c0-19.2 12.8-32 32-32h384c19.2 0 32 12.8 32 32v384c0 19.2-12.8 32-32 32zM992 960h-384c-19.2 0-32-12.8-32-32v-384c0-19.2 12.8-32 32-32h384c19.2 0 32 12.8 32 32v384c0 19.2-12.8 32-32 32zM416 384h-384c-19.2 0-32-12.8-32-32v-384c0-19.2 12.8-32 32-32h384c19.2 0 32 12.8 32 32v384c0 19.2-12.8 32-32 32zM992 384h-384c-19.2 0-32-12.8-32-32v-384c0-19.2 12.8-32 32-32h384c19.2 0 32 12.8 32 32v384c0 19.2-12.8 32-32 32z" />
+<glyph unicode="&#xe61e;" d="M992 896h-768c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h768c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 640h-768c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h768c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 384h-768c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h768c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 128h-768c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h768c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM96 896h-64c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h64c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM96 640h-64c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h64c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM96 384h-64c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h64c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM96 128h-64c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h64c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32z" />
+<glyph unicode="&#xe61f;" d="M992 896h-960c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h960c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 640h-960c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h960c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 384h-960c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h960c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 128h-960c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h960c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32z" />
+<glyph unicode="&#xe620;" d="M992 832h-640c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h640c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 512h-640c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h640c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM992 192h-640c-19.2 0-32-12.8-32-32v-64c0-19.2 12.8-32 32-32h640c19.2 0 32 12.8 32 32v64c0 19.2-12.8 32-32 32zM256 768c0-70.692-57.308-128-128-128-70.692 0-128 57.308-128 128 0 70.692 57.308 128 128 128 70.692 0 128-57.308 128-128zM256 448c0-70.692-57.308-128-128-128-70.692 0-128 57.308-128 128 0 70.692 57.308 128 128 128 70.692 0 128-57.308 128-128zM256 128c0-70.692-57.308-128-128-128-70.692 0-128 57.308-128 128 0 70.692 57.308 128 128 128 70.692 0 128-57.308 128-128z" />
+<glyph unicode="&#xe621;" d="M896 960h-768c-70.656 0-128-57.344-128-128v-768c0-70.656 57.344-128 128-128h768c70.656 0 128 57.344 128 128v768c0 70.656-57.344 128-128 128zM384 895.936c35.328 0 64-28.608 64-63.936 0-35.392-28.672-64-64-64s-64 28.608-64 64c0 35.328 28.672 63.936 64 63.936zM192 895.936c35.328 0 64-28.608 64-63.936 0-35.392-28.672-64-64-64s-64 28.608-64 64c0 35.328 28.672 63.936 64 63.936zM896.064 64h-768.064v640h768.064v-640z" />
+<glyph unicode="&#xe622;" d="M938.752 767.744h-106.688v106.624c0 47.104-38.208 85.312-85.312 85.312h-661.44c-47.104 0-85.312-38.208-85.312-85.312v-660.672c0-47.168 37.248-85.376 83.136-85.376h108.864v-106.688c0-47.104 37.248-85.312 83.136-85.312h665.792c45.952 0 83.2 38.208 83.2 85.312v660.736c-0.064 47.104-38.272 85.376-85.376 85.376zM384 895.616c35.328 0 64-28.608 64-63.936 0-35.392-28.672-64-64-64s-64 28.608-64 64c0 35.328 28.672 63.936 64 63.936zM192 895.616c35.328 0 64-28.608 64-63.936 0-35.392-28.672-64-64-64s-64 28.608-64 64c0 35.328 28.672 63.936 64 63.936zM128 255.68l-0.064 448h576.064v-448h-576zM896 63.68h-576v64.64h428.864c45.952 0 83.2 38.208 83.2 85.376v297.984h63.936v-448z" />
+<glyph unicode="&#xe623;" d="M768 191.936c-121.6 0-197.888 68.736-256 144.448-58.112-75.712-134.4-144.448-256-144.448-102.848 0-256 68.224-256 256.064 0 187.776 153.152 256 256 256 121.6 0 197.888-68.672 256-144.448 58.112 75.776 134.4 144.448 256 144.448 102.912 0 256-68.224 256-256 0-187.84-153.088-256.064-256-256.064zM256 576c-29.632-0.512-128-11.136-128-128 0-121.856 106.624-128 128-128 78.272 0 123.264 47.808 178.752 128-55.488 80.128-100.48 128-178.752 128zM589.248 448c55.424-80.128 100.352-127.872 178.432-128 30.336 0.448 128.32 11.264 128.32 128 0 121.856-106.624 128-128 128-78.272 0-123.264-47.872-178.752-128z" />
+<glyph unicode="&#xe624;" d="M800 512c-22.976 0-59.328 0-96 0v-128c22.656 0 44.8 0 64 0 12.096 0 23.296 0 32 0 123.712 0 224-100.288 224-224s-100.288-224-224-224-224 100.224-224 224c0 22.976 0 59.264 0 96h-128c0-22.656 0-44.864 0-64 0-12.096 0-23.232 0-32 0-123.776-100.288-224-224-224s-224 100.224-224 224 100.288 224 224 224c22.976 0 59.328 0 96 0v128c-22.592 0-44.864 0-64 0-12.096 0-23.232 0-32 0-123.712 0-224 100.224-224 224 0 123.712 100.288 224 224 224s224-100.288 224-224c0-22.976 0-59.328 0-96h128c0 22.592 0 44.864 0 64 0 12.096 0 23.232 0 32 0 123.712 100.288 224 224 224s224-100.288 224-224c0-123.776-100.288-224-224-224zM320 736c0 52.992-43.008 96-96 96s-96-43.008-96-96c0-53.056 43.008-96 96-96 7.744 0 19.52 0 32 0 29.568 0 64 0 64 0s0 69.056 0 96zM320 192c0 29.504 0 64 0 64s-69.056 0-96 0c-52.992 0-96-43.008-96-96s43.008-96 96-96 96 43.008 96 96c0 7.744 0 19.52 0 32zM704 160c0-52.992 43.008-96 96-96s96 43.008 96 96-43.008 96-96 96c-7.744 0-19.52 0-32 0-29.568 0-64 0-64 0s0-69.12 0-96zM576 512h-128v-128h128v128zM800 832c-52.992 0-96-43.008-96-96 0-7.744 0-19.456 0-32 0-29.632 0-64 0-64s69.056 0 96 0c52.992 0 96 42.944 96 96 0 52.992-43.008 96-96 96z" />
+<glyph unicode="&#xe625;" d="M801.984 406.4c-28.672 17.664-65.408 7.232-81.92-23.36-0.576-1.024-0.576-2.24-1.152-3.264l-1.472 0.96c-41.984-74.432-117.696-124.736-205.184-124.736s-163.136 50.304-205.184 124.736l-1.408-0.832c-0.704 1.6-0.704 3.456-1.6 5.12-16.576 30.528-53.312 41.024-82.048 23.36s-38.528-56.832-21.952-87.36c1.28-2.24 3.264-3.648 4.672-5.696l-1.088-0.704c53.12-94.208 143.104-161.6 248.576-180.608v-70.016h-120.064c-33.152 0-60.032-28.672-60.032-64 0-35.392 26.88-64 60.032-64h360.128c33.216 0 60.032 28.608 60.032 64 0 35.328-26.816 64-60.032 64h-120v69.952c105.472 19.008 195.456 86.528 248.576 180.672l-0.384 0.256c1.088 1.472 2.624 2.432 3.456 4.096 16.64 30.656 6.784 69.76-21.952 87.424zM512.256 320c99.456 0 180.032 85.952 180.032 192v256c0 106.048-80.64 192-180.032 192-99.456 0-180.096-85.952-180.096-192v-256c0-106.048 80.64-192 180.096-192z" />
+<glyph unicode="&#xe626;" d="M948.544 446.848c100.48 102.784 100.352 269.312 0 372.032-51.392 52.48-118.976 78.144-186.24 76.992-94.144-1.536-249.344-128.96-249.344-128.96s-159.616 129.216-256 129.088c-65.728-0.128-131.392-25.856-181.504-77.056-100.416-102.784-100.48-269.248 0-372.032l436.544-446.336 436.544 446.272z" />
+<glyph unicode="&#xe627;" d="M512.128 432.064c-87.872 0-159.104 73.728-159.104 164.8 0 91.136 71.232 164.864 159.104 164.864s159.104-73.728 159.104-164.864c0-91.008-71.232-164.8-159.104-164.8zM512.128 960.384c-194.496 0-352.128-163.328-352.128-364.8 0-190.272 159.488-435.776 265.984-555.264 39.808-44.544 86.144-104.704 86.144-104.704s49.792 60.352 92.48 106.304c106.368 114.496 259.648 344.448 259.648 553.6 0 201.536-157.632 364.864-352.128 364.864z" />
+<glyph unicode="&#xe628;" d="M960.512 710.272c-21.76 35.968-48.576 71.168-81.344 103.808-33.216 32.896-68.992 59.968-105.6 81.6l64.32 64.32c0 0 93.056 0 139.648-46.528 46.464-46.592 46.464-139.648 46.464-139.648l-63.488-63.552zM387.2 128.768h-194.432v194.432l23.36 23.36c39.552-18.56 78.784-44.928 114.176-80.32 35.392-35.328 61.696-74.688 80.32-114.176l-23.424-23.296zM906.752 656.512l-440-448.32c-22.72 37.632-50.688 74.304-84.992 108.352-34.688 34.432-72.064 62.72-110.336 85.312l449.152 440.896c37.824-17.856 75.456-42.944 109.312-76.864s59.008-71.424 76.864-109.376zM128 832v-767.936h768v319.936l128 127.936v-482.88c0-51.392-41.6-93.056-93.056-93.056h-837.888c-51.392 0-93.056 41.664-93.056 93.056v837.824c0 51.456 41.664 93.12 93.056 93.12h482.944l-128-128h-320z" />
+<glyph unicode="&#xe629;" d="M960.256 96.064v-0.768l-256.256 256.256v-127.488c0-70.72-57.344-128.064-128-128.064h-448c-70.656 0-128 57.344-128 128.064v447.872c0 70.72 57.344 128.064 128 128.064h448c70.656 0 128-57.344 128-128.064v-128.576l256 256v0.64c35.392 0 64-28.608 64-64v-576c0-35.264-28.544-63.808-63.744-63.936z" />
+<glyph unicode="&#xe62a;" d="M897.024 768h-147.84l-42.88 90.624c-9.792 21.312-45.056 37.376-79.36 37.376h-244.8c-34.304 0-69.568-16.064-79.424-37.376l-41.856-90.624h-132.864c-128 0-128-64-128-64v-640c0 0 0-64 128-64h768c128 0 128 64 128 64v640c0 0 0 64-126.976 64zM512 128.064c-141.376 0-256 114.496-256 255.872 0 141.44 114.624 256.064 256 256.064s256-114.624 256-256.064c0-141.376-114.624-255.872-256-255.872zM512 544c-88.384 0-160-71.616-160-160 0-88.32 71.616-160 160-160s160 71.68 160 160c0 88.384-71.616 160-160 160z" />
+<glyph unicode="&#xe62b;" d="M512.064 960c-282.688 0-511.872-229.184-511.872-511.936 0-282.816 229.184-511.936 511.872-511.936 282.752 0 511.936 229.12 511.936 511.936 0 282.752-229.184 511.936-511.936 511.936zM678.976 268.48l-14.848-14.976c-12.416-12.352-33.344-12.992-46.464-1.28l-171.52 147.52c-13.12 11.712-23.040 35.712-22.208 53.248l17.856 283.072c0.896 17.6 16 31.936 33.664 31.936h21.056c17.6 0 32.704-14.336 33.536-31.936l14.656-231.808c0.896-17.536 11.2-42.688 22.848-55.808l112.768-133.568c11.648-12.992 11.136-33.984-1.344-46.4z" />
+<glyph unicode="&#xe62c;" d="M512.064 800c-338.944 0-512.96-352.896-512.96-352.896s131.328-352.96 512.96-352.96c345.472 0 512.832 351.616 512.832 351.616s-168.64 354.24-512.832 354.24zM512.832 226.496c-123.968 0-213.504 96.576-213.504 220.608 0 124.096 89.536 220.544 213.504 220.544 123.904 0 213.44-96.448 213.44-220.544 0-124.032-89.6-220.608-213.44-220.608zM512.832 579.456c-70.784-0.128-128.128-61.44-128.128-132.352 0-70.848 57.344-132.352 128.128-132.352s128.064 61.504 128.064 132.352c0 70.912-57.28 132.544-128.064 132.352z" />
+<glyph unicode="&#xe62d;" d="M457.856 168.064l289.28-226.496c4.736-3.776 7.616-5.632 10.368-5.632 8 0 10.496 5.504 10.496 14.528v214.4c0 15.104 9.984 27.136 23.36 27.136h105.152c127.488 0 127.36 61.44 127.36 61.44v640.064c0 0 0 66.56-127.872 66.56h-767.936c-128 0-128-66.56-128-66.56v-640.064c0 0-0.064-61.44 128.448-61.44h256c0 0 53.568-1.472 73.344-23.936z" />
+<glyph unicode="&#xe62e;" d="M1024 26.752c0-50.176-41.6-90.752-93.12-90.752h-291.264v351.68c0 53.056-38.016 96.128-85.056 96.128h-85.12c-46.976 0-85.12-43.072-85.12-96.128v-351.68h-291.264c-51.392 0-93.056 40.576-93.056 90.752v478.976c0 23.36 9.344 44.48 24.192 60.544l-0.96 1.856 425.92 372.992c34.304 25.152 89.984 25.152 124.288 0l427.264-372.992-0.448-2.368c14.592-16.064 23.744-36.928 23.744-60.032v-478.976z" />
+<glyph unicode="&#xe62f;" d="M896-64h-192v128h192.064v640h-768.064v-640h192v-128h-192c-70.656 0-128 57.344-128 128v768c0 70.656 57.344 128 128 128h768c70.656 0 128-57.344 128-128v-768c0-70.656-57.344-128-128-128zM192 895.936c-35.392 0-64-28.608-64-63.936 0-35.392 28.608-64 64-64s64 28.608 64 64c0 35.328-28.608 63.936-64 63.936zM384 895.936c-35.392 0-64-28.608-64-63.936 0-35.392 28.608-64 64-64s64 28.608 64 64c0 35.328-28.608 63.936-64 63.936zM271.936 200.704c-22.208 23.232-22.208 60.864 0 84.16l196.928 209.408c6.144 6.464 13.44 10.496 21.12 13.44 0.064 0.064 0.192 0.064 0.32 0.128 5.888 2.24 11.84 3.456 17.984 3.712 2.24 0.192 4.416 0.384 6.656 0.256 2.752-0.192 5.376-1.024 8-1.6 11.328-2.24 22.272-6.72 30.976-15.872l196.864-209.408c22.272-23.296 22.272-60.928 0-84.16-22.272-23.104-58.304-23.104-80.576 0l-94.208 119.232v-319.936c0-34.176-32.064-64.064-64.64-64.064-32.512 0-63.36 29.888-63.36 64.064v319.936l-95.488-119.296c-22.272-23.168-58.304-23.168-80.576 0z" />
+<glyph unicode="&#xe630;" d="M723.392 353.6c-11.328 11.456-15.104 32.704-8.384 47.296 0 0 47.232 102.464 47.232 177.728 0 210.624-170.432 381.376-380.736 381.376s-380.8-170.752-380.8-381.312c0-210.624 170.496-381.376 380.8-381.376 75.2 0 177.408 47.36 177.408 47.36 14.656 6.784 35.968 2.944 47.232-8.448l291.456-291.776c11.456-11.392 30.080-11.392 41.344 0l75.776 75.904c11.456 11.456 11.456 30.144 0 41.472l-291.328 291.776zM381.504 373.376c-113.088 0-205.056 92.032-205.056 205.312 0 113.216 92.032 205.312 205.056 205.312s204.992-92.096 204.992-205.312c0-113.28-91.904-205.312-204.992-205.312z" />
+<glyph unicode="&#xe631;" d="M449.024 596.288c106.56 0 193.024 81.344 193.024 181.888-0.064 100.416-86.464 181.824-193.024 181.824s-193.024-81.408-193.024-181.824c0-100.48 86.464-181.888 193.024-181.888zM600.32 583.68c-42.56-29.44-94.592-47.424-151.296-47.424-56.96 0-109.12 18.112-151.744 47.744-173.248-37.312-297.28-136.832-297.28-254.016v-258.88c0-17.152 14.4-31.104 32-31.104h64c17.6 0 32 12.608 32 28.096 0 8.96 0 201.856 0 201.856 0 16.64 9.536 9.984 21.376 9.984 11.776 0 21.312-9.024 21.312-19.968l0.32-179.968c0.896-10.368 9.6-84.416 20.544-86.592 0 0 66.56-57.344 256.448-57.344 191.232 0 256.448 57.344 256.448 57.344 10.944 2.112 19.712 76.16 20.544 86.592l0.32 179.968c0 11.008 9.536 19.968 21.376 19.968 11.776 0 21.312-9.024 21.312-19.968 0 0 0-182.912 0-191.872 0-15.488 14.4-28.096 32-28.096h64c17.6 0 32 14.016 32 31.104v258.88c0 116.864-123.392 216.128-295.68 253.696z" />
+<glyph unicode="&#xe632;" d="M896 864c-50.496 0-768 0-768 0-50.496 0-128-41.152-128-90.944v-18.112c0 0 432.768-361.856 512-361.856s512 360.704 512 360.704v19.2c0 49.856-77.504 91.008-128 91.008zM0 608.96v-512.896c0 0 0-64.064 128-64.064h768c128.192 0 128 64.064 128 64.064v514.496c0 0-364.16-324.992-512-324.992-146.304 0-512 323.392-512 323.392z" />
+<glyph unicode="&#xe633;" d="M896-64h-768c-35.328 0-64 28.608-64 64.064v447.936c0 35.328 28.672 64 64 64h64v128c0 176.704 143.232 320 320 320s320-143.296 320-320v-128h64c35.392 0 64-28.672 64-64v-447.936c0-35.456-28.608-64.064-64-64.064zM704 640c0 105.984-85.952 192-192 192s-192-86.016-192-192v-128h384v128z" />
+<glyph unicode="&#xe634;" d="M767.872 787.008l-0.128-0.064c-0.896 0.64-1.6 1.536-2.624 2.24-29.184 20.032-68.992 12.608-89.024-16.704-19.968-29.312-12.48-69.312 16.64-89.344 0.768-0.64 1.536-0.896 2.24-1.28l-0.256-0.448c82.88-58.048 137.28-154.496 137.28-263.744 0-177.536-143.296-321.472-320-321.472s-320 143.936-320 321.472c0 109.248 54.4 205.696 137.28 263.744l-0.256 0.448c0.704 0.384 1.472 0.64 2.24 1.216 29.184 20.032 36.608 60.032 16.64 89.344-20.032 29.312-59.84 36.8-89.024 16.704-0.96-0.704-1.728-1.536-2.688-2.24l-0.064 0.128c-116.032-81.408-192.128-216.32-192.128-369.344 0-248.576 200.576-450.176 448-450.176s448 201.6 448 450.176c0 153.024-76.096 287.936-192.128 369.344zM512 352c35.392 0 64 28.608 64 64v447.936c0 35.392-28.608 64.064-64 64.064-35.328 0-64-28.672-64-64.064v-447.936c0-35.392 28.672-64 64-64z" />
+<glyph unicode="&#xe635;" d="M320 576c-35.328 0-64-28.608-64-64s28.672-64 64-64 64 28.608 64 64-28.672 64-64 64zM512 384c-35.328 0-64-28.608-64-64s28.672-64 64-64 64 28.608 64 64-28.672 64-64 64zM320 384c-35.328 0-64-28.608-64-64s28.672-64 64-64 64 28.608 64 64-28.672 64-64 64zM896 895.936h-128c0 35.392-28.608 64.064-64 64.064s-64-28.672-64-64.064h-256c0 35.392-28.672 64.064-64 64.064s-64-28.672-64-64.064h-128c-70.656 0-128-57.28-128-127.936v-640c0-70.72 57.344-128 128-128h768c70.656 0 128 57.28 128 128v640c0 70.656-57.344 127.936-128 127.936zM896 128h-768v640h128c0-35.392 28.672-64 64-64s64 28.608 64 64h256c0-35.392 28.608-64 64-64s64 28.608 64 64h128v-640zM704 576c-35.392 0-64-28.608-64-64s28.608-64 64-64 64 28.608 64 64-28.608 64-64 64zM512 576c-35.328 0-64-28.608-64-64s28.672-64 64-64 64 28.608 64 64-28.672 64-64 64zM704 384c-35.392 0-64-28.608-64-64s28.608-64 64-64 64 28.608 64 64-28.608 64-64 64z" />
+<glyph unicode="&#xe636;" d="M918.272 527.040c-17.344 2.56-35.968 18.304-41.344 35.008l-26.112 63.232c-8.128 15.552-6.272 39.872 4.352 53.952l42.112 56.192c10.624 14.080 9.728 36.352-1.984 49.536l-46.272 46.4c-13.12 11.712-35.52 12.544-49.6 1.984l-56.128-42.24c-14.144-10.496-38.4-12.48-54.016-4.288l-63.168 26.048c-16.832 5.312-32.64 24-35.008 41.472l-9.984 69.504c-2.496 17.408-18.816 33.152-36.352 34.944 0 0-10.816 1.216-32.768 1.216s-32.768-1.216-32.768-1.216c-17.536-1.792-33.92-17.536-36.352-34.944l-9.984-69.504c-2.432-17.472-18.176-36.16-35.008-41.472l-63.168-26.048c-15.552-8.192-39.808-6.208-53.888 4.288l-56.256 42.24c-14.016 10.624-36.416 9.728-49.6-1.984l-46.208-46.272c-11.648-13.184-12.544-35.52-1.984-49.6l42.176-56.192c10.56-14.080 12.48-38.4 4.288-53.952l-26.048-63.296c-5.376-16.704-24-32.448-41.408-35.008l-69.504-9.792c-17.472-2.56-33.216-18.88-35.008-36.416 0 0-1.152-10.88-1.152-32.832 0-21.952 1.152-32.896 1.152-32.896 1.856-17.472 17.6-33.792 35.008-36.288l69.504-9.856c17.408-2.496 36.032-18.304 41.408-35.008l26.112-63.232c8.192-15.616 6.272-39.808-4.288-53.888l-42.176-56.256c-10.56-14.144-13.12-33.28-5.632-42.496 7.424-9.216 28.864-32.064 28.928-32.064 0-0.128 7.232-6.72 16-14.656 8.768-8.064 44.48-19.2 58.56-8.64l56.256 42.112c14.080 10.624 38.336 12.544 53.888 4.352l63.040-25.984c16.832-5.44 32.576-24 35.008-41.472l9.984-69.504c2.432-17.344 18.816-33.28 36.288-35.072 0 0 10.88-1.152 32.832-1.152s32.768 1.152 32.768 1.152c17.472 1.792 33.856 17.664 36.352 35.072l9.984 69.504c2.368 17.472 18.112 36.032 35.008 41.472l63.104 25.984c15.616 8.192 39.872 6.272 54.016-4.224l56.256-42.24c14.144-10.56 36.352-9.664 49.6 1.92l46.272 46.336c11.648 13.184 12.48 35.52 1.856 49.6l-42.112 56.256c-10.624 14.080-12.48 38.272-4.352 53.888l26.112 63.232c5.376 16.768 24 32.512 41.344 35.008l69.504 9.856c17.344 2.496 33.152 18.816 35.008 36.288 0 0 1.152 10.88 1.152 32.896 0 21.952-1.152 32.832-1.152 32.832-1.856 17.536-17.6 33.856-35.008 36.416l-69.44 9.792zM512 320c-70.656 0-128 57.344-128 128 0 70.72 57.344 128 128 128 70.592 0 128-57.344 128-128 0-70.656-57.344-128-128-128z" />
+<glyph unicode="&#xe637;" d="M768 697.024v0h128c35.392 0 64-28.672 64-64v-640c0-35.392-28.608-64-64-64h-672c-88.384 0-160 71.616-160 160v703.936c0 88.384 71.616 160.064 160 160.064h672c35.392 0 64-28.672 64-64 0-35.392-28.608-64.064-64-64.064h-640c-35.328 0-64-28.608-64-64s28.672-64 64-64h128v-256l64 64 64-64v256h256z" />
+<glyph unicode="&#xe638;" d="M0 64v192h128v-192.128h640v768.128h-640v-192h-128v192c0 70.656 57.344 128 128 128h640c70.72 0 128-57.344 128-128v-768c0-70.72-57.28-128-128-128h-640c-70.656 0-128 57.28-128 128zM264.768 688c23.232 22.272 60.864 22.272 84.096 0l209.408-196.8c6.528-6.208 10.496-13.568 13.504-21.184 0.064-0.128 0.064-0.192 0.128-0.32 2.24-5.824 3.456-11.84 3.648-17.984 0.256-2.24 0.448-4.416 0.256-6.72-0.128-2.688-1.024-5.248-1.664-7.936-2.176-11.264-6.656-22.208-15.872-30.976l-209.408-196.8c-23.232-22.272-60.864-22.272-84.096 0-23.168 22.272-23.168 58.24 0 80.512l119.232 94.208h-320c-34.112 0-64 32.064-64 64.64 0 32.512 29.888 63.36 64 63.36h320l-119.232 95.552c-23.232 22.144-23.232 58.304 0 80.448z" />
+<glyph unicode="&#xe639;" d="M928 704h-64v-640c0 0-1.984-128-128-128 0 0-318.016 0-448 0s-128 128-128 128v640h-64c-35.328 0-64 28.672-64 64s28.672 64 64 64h320v32c0 53.056 42.944 96 96 96 52.992 0 96-42.944 96-96v-32h320c35.392 0 64-28.608 64-64s-28.608-64-64-64zM736 704h-448v-640h448v640zM416 640c35.328 0 64-28.672 64-64v-384c0-35.392-28.672-64-64-64s-64 28.608-64 64v384c0 35.328 28.672 64 64 64zM608 640c35.392 0 64-28.672 64-64v-384c0-35.392-28.608-64-64-64s-64 28.608-64 64v384c0 35.328 28.608 64 64 64z" />
+<glyph unicode="&#xe63a;" d="M896 768c0 0-278.016 0.064-320 0.064s-89.984 127.936-128 127.936-320 0-320 0c-70.656 0-128-57.28-128-128v-640.064c0-126.656 128-128 128-128h768c70.656 0 128 57.344 128 128v512c0 70.72-57.344 128.064-128 128.064zM896.064 127.936h-768.064v640.064c0 0 214.016 0 254.016 0s89.984-128 128-128c40 0 386.048 0 386.048 0v-512.064z" />
+<glyph unicode="&#xe63b;" d="M895.424 960.064h-767.872c-127.296 0-127.552-128.064-127.552-128.064v-511.936c0 0 0.704-128.064 128-128.064h256c0 0 53.568-1.472 73.344-23.936l289.344-226.496c4.736-3.776 7.616-5.632 10.432-5.632 8 0 10.368 5.504 10.368 14.592v214.336c0 15.104 9.984 27.2 23.424 27.2h105.088c125.312 0 128 128.064 128 128.064v511.872c0 0-1.28 128.064-128.576 128.064zM896 320.064h-256v-128l-164.608 128h-347.392v511.936h768v-511.936z" />
+<glyph unicode="&#xe63c;" d="M896 63.872h-768v768h320v128l-358.976 0.064c-49.152 0-89.024-39.936-89.024-89.088v-845.952c0-49.152 39.872-89.024 89.024-89.024h845.952c49.152 0 89.024 39.872 89.024 89.024v358.976h-128v-320zM1024 896c0 14.656-6.080 27.52-14.72 38.272-1.344 1.728-2.048 3.712-3.584 5.312-0.192 0.128-0.256 0.384-0.384 0.576-0.384 0.32-0.448 0.832-0.832 1.216-4.096 4.096-9.152 6.528-13.952 9.28-2.112 1.216-3.84 3.008-6.080 3.968-8.704 3.776-17.92 5.376-27.264 5.12-0.128 0-0.256 0.064-0.384 0.064h-313.024c-36.992 0.064-67.008-28.544-67.008-63.808 0-35.2 30.080-63.808 67.136-63.808h161.216l-402.56-403.328c-24.832-24.768-24.832-64.768 0-89.472 24.832-24.768 65.024-24.768 89.792 0l403.968 403.52v-163.2c0-37.056 28.608-67.072 63.872-67.072s63.808 30.016 63.808 67.072v313.024c0 0.64-0.32 1.152-0.32 1.728 0 0.512 0.32 1.024 0.32 1.536z" />
+<glyph unicode="&#xe63d;" d="M0 576.448v107.712c0 45.952 38.208 83.136 85.312 83.136h107.392v90.432c0 21.056 21.568 102.208 48.192 102.208h96.384c26.624 0 48.192-81.152 48.192-102.208v-90.432h319.232v90.432c0 21.056 21.632 102.208 48.192 102.208h96.384c26.624 0 48.192-81.152 48.192-102.208v-90.432h41.28c47.168 0 85.376-37.184 85.376-83.136v-107.776h-1024.128zM1024.064 511.36v-492.224c0-45.952-38.208-83.2-85.376-83.2h-853.376c-47.104 0-85.312 37.248-85.312 83.2v492.224h1024.064z" />
+<glyph unicode="&#xe63e;" d="M32 447.936c288 32.064 448 192.064 480 480.064 32.064-288 192.064-448 480.128-480.064-288.064-32-448.064-192-480.128-480-32 288-192 448-480 480z" />
+<glyph unicode="&#xe63f;" d="M1024 448l-380.8-128-10.304-384-245.696 304.96-387.2-109.376 228.992 316.416-228.992 316.416 387.2-109.312 245.696 304.896 10.304-384 380.8-128z" />
+<glyph unicode="&#xe640;" d="M768 223.552c35.392 0 64 28.672 64 64.064s-28.608 64.064-64 64.064-64-28.672-64-64.064 28.608-64.064 64-64.064zM938.752 864h-853.376c-47.168 0-85.376-38.208-85.376-85.376v-661.184c0-47.168 38.208-85.44 85.376-85.44h853.376c47.104 0 85.312 38.272 85.312 85.44v661.184c0 47.168-38.208 85.376-85.312 85.376zM896.064 160.192h-768.064v255.552h768.064v-255.552zM896.064 607.872h-768.064v128.064h768.064v-128.064z" />
+<glyph unicode="&#xe641;" d="M939.712 875.712c-112.448 112.448-294.784 112.448-407.296-0.064l-448-448c-112.512-112.512-112.512-294.848-0.064-407.296s294.784-112.512 407.296 0l94.848 92.16c-51.008 1.152-97.536 17.728-136.96 44.672l-48.448-46.4c-62.528-62.528-163.84-62.528-226.304 0-62.464 62.464-62.464 163.84 0.064 226.304l448 448c62.528 62.528 163.84 62.528 226.24 0 62.528-62.528 62.592-163.776 0.064-226.24l-223.232-224.768c-18.752-18.752-49.152-18.752-67.904 0s-18.752 49.152 0 67.904l168.576 170.176c12.48 12.48 12.544 32.768 0 45.248l-45.248 45.248c-12.48 12.48-32.768 12.48-45.248 0l-168.576-170.176c-68.736-68.736-68.736-180.16 0-248.896s180.16-68.736 248.896 0l223.232 224.832c112.448 112.448 112.448 294.848 0.064 407.296z" />
+<glyph unicode="&#xe642;" d="M939.648 875.648c-54.464 54.4-126.784 84.352-203.648 84.352-76.928 0-149.248-29.952-203.648-84.352 0 0-181.696-181.632-192.128-191.936-54.208-54.336-84.096-126.72-84.224-204.096 0.128-76.8 30.080-148.992 84.352-203.264l23.36-23.424c6.272-6.272 14.528-9.344 22.656-9.344 8.192 0 16.384 3.136 22.656 9.344l45.248 45.248c12.48 12.48 12.48 32.768 0 45.248l-23.424 23.424c-61.376 61.376-62.208 162.048-1.792 224.512 1.856 1.856 193.856 193.792 193.856 193.792 30.208 30.208 70.336 46.848 113.088 46.848s82.88-16.64 113.152-46.784v-0.064c62.528-62.592 62.528-163.776 0-226.24l-9.856-9.856c15.424-41.6 24.64-86.208 24.704-133.056 0-8.512-1.216-16.704-1.664-25.024l77.312 77.376c112.448 112.512 112.384 294.912 0 407.296zM660.16 643.136c-6.208 6.272-14.464 9.344-22.592 9.344-8.256 0-16.448-3.136-22.656-9.344l-45.248-45.248c-12.544-12.48-12.544-32.768 0-45.248l23.36-23.424c61.376-61.376 62.272-162.048 1.856-224.512-1.856-1.856-193.856-193.792-193.856-193.792-30.144-30.272-70.272-46.912-113.088-46.912-42.688 0-82.816 16.64-113.088 46.784v0.064c-62.528 62.592-62.528 163.776-0.064 226.24l9.92 9.856c-15.488 41.6-24.704 86.208-24.704 133.056 0 8.512 1.152 16.704 1.664 25.024l-77.312-77.376c-112.512-112.512-112.448-294.848 0-407.232 54.464-54.464 126.784-84.416 203.648-84.416s149.184 29.952 203.648 84.352c0 0 181.696 181.632 192.128 191.936 54.208 54.336 84.096 126.72 84.224 204.096-0.128 76.8-30.144 148.992-84.352 203.264l-23.488 23.488z" />
+<glyph unicode="&#xe643;" d="M1012.736 484.16l-241.216 352c-11.968 17.408-31.68 27.84-52.8 27.84h-654.72c-35.392 0-64-28.672-64-64v-704c0-35.328 28.608-64 64-64h654.72c21.12 0 40.896 10.368 52.8 27.84l241.216 352c15.040 21.76 15.040 50.56 0 72.32zM736 352c-52.992 0-96 43.008-96 96s43.008 96 96 96 96-43.008 96-96-43.008-96-96-96z" />
+<glyph unicode="&#xe644;" d="M842.752 960h-660.544c-47.552 0-86.208-38.144-86.208-64v-853.376c0-68.416 38.656-106.624 86.208-106.624h660.544c47.040 0 85.248 38.208 85.248 85.312v853.376c0 47.168-38.208 85.312-85.248 85.312zM544 128h-256c-35.392 0-64 28.608-64 64s28.608 64 64 64h256c35.392 0 64-28.608 64-64s-28.608-64-64-64zM736 384h-448c-35.392 0-64 28.608-64 64s28.608 64 64 64h448c35.392 0 64-28.608 64-64s-28.608-64-64-64zM736 640h-448c-35.392 0-64 28.608-64 64s28.608 64 64 64h448c35.392 0 64-28.608 64-64s-28.608-64-64-64z" />
+<glyph unicode="&#xe645;" d="M938.752 32h-853.376c-47.168 0-85.376 37.248-85.376 83.264v665.472c0 46.016 38.208 83.264 85.376 83.264h853.376c47.104 0 85.312-37.248 85.312-83.264v-665.472c0-46.016-38.208-83.264-85.312-83.264zM896.064 736h-768.064v-511.808c0 0 64 64.064 128 128.064 64 64.064 128 0 128 0l64-64c0 0 118.72 120.768 192 192.128 66.88 66.944 128 0 128 0l128-128.128 0.064 383.744zM320 480c-35.328 0-64 28.672-64 63.936 0 35.392 28.672 64.064 64 64.064s64-28.672 64-64.064c0-35.264-28.672-63.936-64-63.936z" />
+<glyph unicode="&#xe646;" d="M928-64h-832c-51.2 0-96 44.8-96 96v832c0 51.2 44.8 96 96 96h825.6c57.6 0 102.4-44.8 102.4-96v-825.6c0-57.6-44.8-102.4-96-102.4zM748.8 768c-121.6 0-172.8-83.2-172.8-166.4v-89.6h-64v-128h64v-384h128v384h128v128h-128v70.4c0 38.4 6.4 57.6 51.2 57.6h76.8v121.6s-38.4 6.4-83.2 6.4z" />
+<glyph unicode="&#xe647;" d="M1017.6 646.4c0 83.2-64 147.2-147.2 147.2-115.2 6.4-236.8 6.4-358.4 6.4-121.6 0-243.2 0-358.4-6.4-83.2 0-147.2-64-147.2-147.2-6.4-70.4-6.4-134.4-6.4-198.4s0-128 6.4-198.4c0-83.2 64-147.2 147.2-147.2 115.2-6.4 236.8-6.4 358.4-6.4 121.6 0 243.2 0 358.4 6.4 83.2 0 147.2 64 147.2 147.2 6.4 64 6.4 128 6.4 198.4 0 64 0 128-6.4 198.4zM384 224v448l320-224-320-224z" />
+<glyph unicode="&#xe648;" d="M876.8 896c-147.2 6.4-243.2-76.8-294.4-243.2 25.6 12.8 51.2 19.2 76.8 19.2 51.2 0 76.8-32 70.4-89.6 0-38.4-25.6-89.6-70.4-153.6-38.4-70.4-70.4-102.4-96-102.4-25.6 0-51.2 51.2-76.8 160-6.4 25.6-19.2 108.8-38.4 236.8-19.2 115.2-70.4 172.8-147.2 160-32 0-83.2-32-153.6-96-44.8-38.4-96-83.2-147.2-128l51.2-64c44.8 32 70.4 51.2 76.8 51.2 38.4 0 70.4-57.6 96-166.4 32-108.8 57.6-211.2 83.2-313.6 38.4-108.8 89.6-166.4 153.6-166.4 96 0 211.2 89.6 352 275.2 134.4 179.2 204.8 313.6 211.2 416 6.4 134.4-44.8 204.8-147.2 204.8z" />
+<glyph unicode="&#xe649;" d="M1024 768c-38.4-19.2-76.8-25.6-121.6-32 44.8 25.6 76.8 64 89.6 115.2-38.4-25.6-83.2-38.4-134.4-51.2-38.4 38.4-96 64-153.6 64-108.8 0-204.8-96-204.8-211.2 0-19.2 0-32 6.4-44.8-172.8 6.4-332.8 89.6-435.2 217.6-19.2-32-25.6-64-25.6-102.4 0-70.4 38.4-134.4 96-172.8-32 0-64 12.8-96 25.6 0-102.4 70.4-185.6 166.4-204.8-19.2-12.8-38.4-12.8-57.6-12.8-12.8 0-25.6 0-38.4 6.4 25.6-83.2 102.4-147.2 198.4-147.2-70.4-57.6-160-89.6-262.4-89.6h-51.2c96-64 204.8-96 320-96 384 0 595.2 320 595.2 595.2v25.6c44.8 32 83.2 70.4 108.8 115.2z" />
+<glyph unicode="&#xe64a;" d="M179.2 57.6c76.8 115.2 211.2 185.6 358.4 185.6 134.4 0 256-64 339.2-160 89.6 96 147.2 224 147.2 364.8 0 281.6-230.4 512-512 512s-512-230.4-512-512c0-153.6 70.4-294.4 179.2-390.4zM787.2 294.4c-6.4-19.2-19.2-19.2-38.4-12.8-70.4 32-147.2 51.2-224 51.2-83.2 0-160-19.2-230.4-51.2-6.4-6.4-25.6-6.4-32 19.2-6.4 12.8 6.4 25.6 12.8 32 76.8 38.4 160 57.6 249.6 57.6s172.8-19.2 243.2-51.2c12.8-12.8 25.6-25.6 19.2-44.8zM832 422.4c-6.4-6.4-12.8-12.8-25.6-12.8h-6.4c-83.2 38.4-179.2 64-275.2 64s-185.6-19.2-268.8-57.6h-6.4c-12.8 0-19.2 6.4-25.6 12.8l-6.4 12.8c0 6.4 6.4 19.2 12.8 19.2 89.6 38.4 192 64 300.8 64 108.8 0 211.2-25.6 300.8-64v-38.4zM185.6 633.6c102.4 44.8 217.6 64 339.2 64 115.2 0 230.4-25.6 332.8-64 12.8-6.4 25.6-19.2 25.6-38.4 0-25.6-19.2-44.8-44.8-44.8h-6.4c-96 38.4-198.4 57.6-307.2 57.6s-211.2-19.2-307.2-51.2h-6.4c-25.6 0-44.8 19.2-44.8 44.8 0 6.4 6.4 25.6 19.2 32zM537.6 76.8c-89.6 0-166.4-44.8-211.2-108.8 57.6-19.2 121.6-32 185.6-32 83.2 0 160 19.2 224 51.2-44.8 57.6-115.2 89.6-198.4 89.6z" />
+<glyph unicode="&#xe64b;" d="M979.2 371.2c6.4 25.6 6.4 51.2 6.4 76.8 0 262.4-211.2 473.6-473.6 473.6-25.6 0-51.2 0-76.8-6.4-38.4 32-89.6 44.8-147.2 44.8-160 0-288-128-288-288 0-57.6 12.8-108.8 44.8-153.6-6.4-19.2-6.4-44.8-6.4-70.4 0-262.4 211.2-473.6 473.6-473.6 25.6 0 51.2 0 76.8 6.4 44.8-25.6 96-44.8 153.6-44.8 160 0 288 128 288 288-6.4 57.6-19.2 108.8-51.2 147.2zM736 230.4c-19.2-32-51.2-51.2-89.6-70.4-38.4-19.2-83.2-25.6-134.4-25.6-64 0-115.2 12.8-160 32-32 12.8-51.2 38.4-70.4 64-19.2 32-25.6 57.6-25.6 83.2 0 12.8 6.4 25.6 19.2 38.4 12.8 12.8 25.6 19.2 44.8 19.2 12.8 0 25.6-6.4 38.4-12.8 6.4-6.4 12.8-19.2 19.2-38.4 6.4-19.2 19.2-32 25.6-44.8 6.4-12.8 19.2-25.6 38.4-32 19.2-6.4 38.4-12.8 64-12.8 38.4 0 70.4 6.4 89.6 25.6 25.6 19.2 32 38.4 32 57.6 0 19.2-6.4 32-19.2 44.8-6.4 19.2-19.2 25.6-38.4 32-19.2 6.4-51.2 12.8-83.2 19.2-44.8 12.8-83.2 25.6-115.2 38.4-32 12.8-57.6 32-76.8 51.2-19.2 25.6-25.6 57.6-25.6 89.6 0 32 12.8 64 32 89.6 19.2 25.6 44.8 44.8 83.2 57.6 38.4 12.8 76.8 19.2 128 19.2 38.4 0 70.4-6.4 102.4-12.8 25.6-6.4 51.2-19.2 70.4-38.4 19.2-12.8 32-32 44.8-44.8s12.8-32 12.8-51.2c0-12.8-6.4-25.6-19.2-38.4-12.8-12.8-25.6-19.2-44.8-19.2-12.8 0-25.6 6.4-32 12.8-6.4 6.4-19.2 19.2-25.6 32-12.8 25.6-25.6 38.4-44.8 51.2-12.8 12.8-38.4 19.2-76.8 19.2-32 0-57.6-6.4-76.8-19.2-19.2-12.8-32-25.6-32-44.8 0-12.8 6.4-19.2 12.8-32l25.6-19.2c12.8-6.4 25.6-12.8 38.4-12.8 12.8-6.4 32-6.4 64-12.8 32-12.8 64-25.6 96-32 32-6.4 51.2-19.2 76.8-32 19.2-12.8 38.4-32 51.2-51.2 6.4-25.6 12.8-51.2 12.8-76.8 0-38.4-12.8-70.4-32-102.4z" />
+<glyph unicode="&#xe64c;" d="M512 960c-281.6 0-512-230.4-512-512 0-211.2 128-390.4 307.2-467.2 0 38.4 0 76.8 6.4 115.2 12.8 38.4 64 281.6 64 281.6s-12.8 32-12.8 76.8c0 76.8 44.8 134.4 96 134.4s70.4-32 70.4-76.8-32-115.2-44.8-179.2c-12.8-57.6 25.6-96 83.2-96 96 0 160 121.6 160 275.2 0 115.2-76.8 198.4-211.2 198.4-153.6 0-249.6-115.2-249.6-243.2 0-44.8 12.8-76.8 32-102.4 6.4-12.8 12.8-12.8 6.4-25.6 0-6.4-6.4-32-12.8-38.4-6.4-12.8-12.8-19.2-25.6-12.8-70.4 32-102.4 108.8-102.4 198.4 0 147.2 121.6 320 364.8 320 198.4 0 326.4-140.8 326.4-294.4 0-198.4-108.8-352-275.2-352-57.6 0-108.8 32-128 64 0 0-32-115.2-38.4-140.8-12.8-38.4-32-76.8-51.2-108.8 51.2-32 96-38.4 147.2-38.4 281.6 0 512 230.4 512 512s-230.4 512-512 512z" />
+<glyph unicode="&#xe64d;" d="M256 915.2c-134.4-51.2-224-147.2-249.6-288-12.8-83.2-6.4-172.8 32-249.6 6.4-19.2 19.2-32 32-51.2l19.2-19.2c12.8 6.4 25.6 6.4 32 12.8 44.8 25.6 76.8 64 115.2 96-128 153.6 6.4 332.8 172.8 377.6 160 38.4 371.2-25.6 416-192 19.2-64 6.4-140.8-44.8-192-25.6-25.6-64-44.8-102.4-51.2-25.6-6.4-44.8-6.4-70.4 0-12.8 6.4-25.6 6.4-38.4 6.4-19.2 6.4-38.4 6.4-38.4 25.6v268.8c0 19.2 0 12.8-12.8 19.2-12.8 0-25.6 0-38.4 6.4-38.4 0-83.2 0-121.6-6.4-12.8 0-19.2 0-19.2-19.2v-140.8l6.4-294.4c0-32 0-102.4-32-115.2-38.4-19.2-70.4 19.2-108.8 25.6 6.4-51.2-25.6-147.2 32-172.8 51.2-25.6 115.2-32 172.8-12.8 115.2 38.4 153.6 172.8 140.8 275.2 179.2-51.2 377.6 38.4 454.4 198.4 57.6 115.2 32 262.4-51.2 358.4-166.4 185.6-480 224-697.6 134.4z" />
+<glyph unicode="&#xe64e;" d="M928-64h-832c-51.2 0-96 44.8-96 96v832c0 51.2 44.8 96 96 96h825.6c57.6 0 102.4-44.8 102.4-96v-825.6c0-57.6-44.8-102.4-96-102.4zM262.4 768c-44.8 0-76.8-32-76.8-76.8 0-38.4 25.6-76.8 70.4-76.8 44.8 0 70.4 32 70.4 76.8 6.4 44.8-19.2 76.8-64 76.8zM339.2 569.6h-147.2v-441.6h147.2v441.6zM876.8 377.6c0 134.4-64 204.8-160 204.8-76.8 0-108.8-44.8-128-70.4v64h-153.6v-441.6h147.2v236.8c0 12.8 0 25.6 6.4 32 12.8 25.6 32 51.2 76.8 51.2 51.2 0 70.4-38.4 70.4-96v-230.4h147.2v249.6z" />
+<glyph unicode="&#xe64f;" d="M0 89.6v0zM236.8 396.8c89.6 0 153.6 96 140.8 211.2-19.2 121.6-108.8 217.6-198.4 217.6-89.6 6.4-153.6-89.6-140.8-211.2 19.2-115.2 108.8-217.6 198.4-217.6zM1024 704v83.2c0 96-76.8 172.8-166.4 172.8h-684.8c-96 0-172.8-76.8-172.8-166.4 57.6 51.2 140.8 96 224 96h358.4l-83.2-70.4h-108.8c70.4-25.6 115.2-115.2 115.2-204.8 0-76.8-44.8-140.8-102.4-185.6-57.6-44.8-70.4-64-70.4-102.4 0-32 64-89.6 96-108.8 96-64 128-128 128-230.4 0-19.2 0-32-6.4-51.2h307.2c96 0 172.8 76.8 172.8 172.8v531.2h-192v-192h-64v192h-198.4v64h192v192h64v-192h192zM185.6 192h64c-25.6 25.6-51.2 57.6-51.2 96 0 25.6 6.4 44.8 19.2 64h-32c-76.8 6.4-140.8 32-185.6 70.4v-275.2c51.2 32 115.2 44.8 185.6 44.8zM6.4 70.4v19.2c-6.4-6.4-6.4-12.8 0-19.2zM454.4 6.4c-12.8 57.6-70.4 89.6-140.8 140.8-25.6 6.4-57.6 12.8-89.6 12.8-89.6 0-172.8-32-217.6-89.6 12.8-76.8 83.2-134.4 166.4-134.4h288v32c0 12.8 0 25.6-6.4 38.4z" />
+<glyph unicode="&#xe650;" d="M512 960c-281.6 0-512-230.4-512-512s230.4-512 512-512 512 230.4 512 512-230.4 512-512 512zM825.6 697.6c51.2-64 83.2-140.8 83.2-230.4-57.6 12.8-115.2 19.2-166.4 19.2-38.4 0-76.8-6.4-115.2-12.8l-25.6 64c83.2 32 160 83.2 224 160zM512 844.8c96 0 179.2-32 249.6-89.6-51.2-64-121.6-108.8-198.4-140.8-51.2 108.8-102.4 179.2-134.4 224 25.6 6.4 51.2 6.4 83.2 6.4zM332.8 806.4c32-32 83.2-102.4 147.2-217.6-121.6-38.4-243.2-44.8-320-44.8h-38.4c32 115.2 108.8 211.2 211.2 262.4zM115.2 448c12.8 6.4 25.6 6.4 44.8 6.4 83.2 0 217.6 6.4 364.8 51.2 6.4-19.2 12.8-32 25.6-51.2-102.4-32-179.2-83.2-230.4-134.4-51.2-51.2-89.6-96-108.8-128-64 70.4-96 160-96 256zM512 51.2c-89.6 0-172.8 32-236.8 76.8 12.8 25.6 44.8 70.4 89.6 115.2 51.2 44.8 115.2 96 204.8 128 32-83.2 57.6-185.6 76.8-294.4-38.4-19.2-83.2-25.6-134.4-25.6zM736 121.6c-19.2 102.4-44.8 185.6-76.8 268.8 25.6 6.4 51.2 6.4 83.2 6.4 44.8 0 102.4-6.4 153.6-19.2-12.8-108.8-70.4-198.4-160-256z" />
+<glyph unicode="&#xe651;" d="M921.6 678.4h-256v64h256v-64zM499.2 416c12.8-25.6 25.6-57.6 25.6-96s-6.4-70.4-25.6-102.4l-51.2-51.2c-19.2-12.8-44.8-25.6-70.4-32s-57.6-6.4-89.6-6.4h-288v640h307.2c76.8 0 134.4-25.6 166.4-70.4 19.2-25.6 25.6-57.6 25.6-96s-12.8-70.4-32-96c-6.4-12.8-19.2-25.6-44.8-32 32-12.8 57.6-32 76.8-57.6zM147.2 518.4h134.4c25.6 0 51.2 6.4 70.4 12.8 19.2 12.8 25.6 32 25.6 57.6 0 32-12.8 51.2-32 57.6-25.6 6.4-51.2 12.8-83.2 12.8h-115.2v-140.8zM390.4 332.8c0 32-12.8 57.6-38.4 70.4-12.8 6.4-38.4 12.8-64 12.8h-140.8v-172.8h134.4c25.6 0 51.2 6.4 64 12.8 25.6 6.4 44.8 32 44.8 76.8zM1017.6 435.2c6.4-19.2 6.4-51.2 6.4-89.6h-332.8c0-44.8 19.2-76.8 44.8-96 19.2-12.8 38.4-19.2 64-19.2s51.2 6.4 64 19.2c19.2 6.4 25.6 19.2 32 32h121.6c0-25.6-19.2-57.6-44.8-83.2-38.4-44.8-96-64-172.8-64-57.6 0-115.2 19.2-160 57.6-44.8 32-70.4 96-70.4 179.2 0 76.8 19.2 140.8 64 185.6 44.8 44.8 96 64 166.4 64 38.4 0 76.8-6.4 108.8-19.2 32-12.8 57.6-38.4 76.8-70.4 19.2-32 25.6-64 32-96zM902.4 422.4c0 32-12.8 57.6-32 70.4-19.2 19.2-44.8 25.6-70.4 25.6-32 0-51.2-6.4-70.4-25.6-19.2-19.2-25.6-38.4-32-70.4h204.8z" />
+<glyph unicode="&#xe652;" d="M565.888 547.328l69.824-33.728 105.408 33.728v61.184c0 126.080-102.784 228.608-229.12 228.608s-229.056-102.592-229.056-228.608v-321.024c0-29.632-24.192-53.696-53.824-53.696s-53.824 24.064-53.824 53.696v134.4h-175.296v-134.4c0-126.080 102.72-228.608 229.12-228.608 126.336 0 229.12 102.592 229.12 228.608v321.024c0 29.568 24.192 53.696 53.824 53.696 29.696 0 53.888-24.128 53.888-53.696l-0.064-61.184zM848.704 421.888v-134.4c0-29.632-24.128-53.696-53.824-53.696-29.696 0-53.888 24.064-53.888 53.696v137.088l-105.344-33.728-69.824 33.728v-137.088c0-126.080 102.784-228.608 229.12-228.608s229.056 102.592 229.056 228.608v134.4h-175.296z" />
+<glyph unicode="&#xe653;" d="M608 307.2c-19.2-19.2 0-51.2 0-51.2l128-217.6s19.2-25.6 38.4-25.6 38.4 12.8 38.4 12.8l102.4 147.2s12.8 19.2 12.8 32c0 25.6-32 32-32 32l-243.2 76.8c-6.4 0-25.6 6.4-44.8-6.4zM595.2 416c12.8-19.2 44.8-12.8 44.8-12.8l243.2 70.4s32 12.8 38.4 32c6.4 19.2-6.4 38.4-6.4 38.4l-108.8 134.4s-12.8 19.2-32 19.2c-25.6 0-38.4-25.6-38.4-25.6l-140.8-217.6s-6.4-19.2 0-38.4zM480 499.2c32 6.4 38.4 51.2 38.4 51.2v345.6c-6.4 0-6.4 38.4-25.6 51.2-32 19.2-44.8 6.4-51.2 6.4l-198.4-70.4s-19.2-6.4-32-25.6c-12.8-25.6 12.8-57.6 12.8-57.6l211.2-288s19.2-19.2 44.8-12.8zM435.2 358.4c0 25.6-32 44.8-32 44.8l-217.6 108.8s-32 12.8-44.8 6.4c-19.2-12.8-25.6-25.6-32-32l-12.8-172.8s0-32 6.4-44.8c12.8-19.2 44.8-6.4 44.8-6.4l256 57.6c12.8 0 25.6 6.4 32 38.4zM492.8 262.4c-19.2 12.8-44.8-6.4-44.8-6.4l-172.8-185.6s-19.2-25.6-12.8-44.8c6.4-19.2 12.8-25.6 25.6-32l172.8-51.2s19.2-6.4 38.4 0c19.2 0 12.8 32 12.8 32l6.4 256s0 25.6-25.6 32z" />
+<glyph unicode="&#xe654;" d="M518.4 416l115.2-313.6v-6.4c-38.4-12.8-83.2-19.2-128-19.2-38.4 0-76.8 6.4-108.8 12.8l121.6 326.4zM896 448c0-140.8-76.8-256-192-326.4l115.2 332.8c19.2 51.2 32 96 32 134.4v38.4c32-51.2 44.8-115.2 44.8-179.2zM128 448c0 51.2 12.8 108.8 32 153.6l185.6-486.4c-128 57.6-217.6 185.6-217.6 332.8zM192 652.8c70.4 102.4 185.6 166.4 320 166.4 102.4 0 192-38.4 262.4-96h-6.4c-38.4 0-64-32-64-64s19.2-57.6 38.4-89.6c12.8-25.6 32-57.6 32-102.4 0-32-12.8-70.4-32-121.6l-38.4-128-140.8 403.2c25.6 0 44.8 6.4 44.8 6.4 19.2 0 19.2 32 0 32 0 0-64-6.4-102.4-6.4-38.4 0-102.4 6.4-102.4 6.4-19.2 0-25.6-32 0-32 0 0 19.2 0 38.4-6.4l57.6-160-83.2-243.2-140.8 403.2c25.6 6.4 44.8 6.4 44.8 6.4 19.2 0 19.2 32 0 32 0 0-64-6.4-102.4-6.4h-25.6zM851.2 960h-678.4c-96 0-172.8-76.8-172.8-172.8v-678.4c0-96 76.8-172.8 172.8-172.8h678.4c96 0 172.8 76.8 172.8 172.8v678.4c0 96-76.8 172.8-172.8 172.8zM960 448c0-249.6-198.4-448-448-448s-448 198.4-448 448 198.4 448 448 448 448-198.4 448-448z" />
+<glyph unicode="&#xe655;" d="M409.6 62.494v343.341h493.929v-439.718l-493.929 96.376zM409.6 839.529l493.929 90.353v-439.718h-493.929v349.365zM331.294 490.165h-331.294v271.059l331.294 60.235v-331.294zM331.294 80.565l-331.294 66.259v259.012h331.294v-325.271z" horiz-adv-x="904" />
+<glyph unicode="&#xe656;" d="M64 768c19.2-128 128-659.2 377.6-812.8 38.4-25.6 83.2-19.2 115.2 6.4 121.6 102.4 243.2 275.2 275.2 358.4 64-6.4 108.8 12.8 108.8 12.8v128h-115.2c-140.8 0-236.8 166.4-179.2 313.6 38.4 102.4 108.8 25.6 121.6 0 12.8-32 6.4-115.2-6.4-172.8 19.2-51.2 140.8-76.8 166.4-38.4 32 96 44.8 262.4-38.4 352-57.6 38.4-198.4 70.4-300.8 6.4s-102.4-204.8-96-275.2c6.4-70.4 32-217.6 172.8-300.8 12.8-12.8-153.6-230.4-160-217.6-185.6 179.2-249.6 544-262.4 640h-179.2z" />
+<glyph unicode="&#xe657;" d="M576 512v-236.8c0-57.6 0-96 6.4-108.8 6.4-19.2 19.2-32 38.4-44.8 25.6-12.8 51.2-19.2 76.8-19.2 51.2 0 83.2 6.4 134.4 38.4v-153.6c-44.8-19.2-83.2-32-115.2-38.4-38.4-12.8-76.8-12.8-115.2-12.8-44.8 0-76.8 6.4-108.8 19.2-38.4 12.8-64 32-89.6 51.2-25.6 19.2-44.8 44.8-51.2 70.4-12.8 25.6-12.8 57.6-12.8 108.8v352h-147.2v147.2c38.4 12.8 83.2 32 115.2 57.6 25.6 25.6 51.2 51.2 70.4 89.6 19.2 32 32 76.8 38.4 128h160v-256h256v-192h-256z" />
+<glyph unicode="&#xe658;" d="M646.4 236.8h-192l-64-300.8h-262.4l25.6 108.8h-153.6l198.4 915.2h448c134.4 0 288-96 236.8-313.6-38.4-192-192-300.8-371.2-300.8h-185.6l-64-300.8h-44.8l-12.8-44.8h134.4l64 300.8h243.2c76.8 0 147.2 25.6 198.4 64l32 25.6c51.2 51.2 83.2 115.2 102.4 192 12.8 76.8 6.4 140.8-32 185.6-19.2 19.2-38.4 38.4-64 51.2 96-38.4 166.4-134.4 134.4-288-38.4-179.2-192-294.4-371.2-294.4zM492.8 524.8c70.4 0 134.4 57.6 153.6 128 19.2 70.4-25.6 128-89.6 128h-128l-64-256h128z" />
+<glyph unicode="&#xe659;" d="M780.8 160c-204.8 0-275.2 89.6-313.6 204.8l-38.4 121.6c-25.6 89.6-64 153.6-166.4 153.6-70.4 0-147.2-51.2-147.2-198.4 0-115.2 57.6-185.6 140.8-185.6 89.6 0 153.6 70.4 153.6 70.4l44.8-102.4s-64-64-198.4-64c-166.4 0-256 96-256 275.2 0 192 89.6 300.8 262.4 300.8 153.6 0 236.8-57.6 281.6-211.2l38.4-121.6c25.6-89.6 76.8-147.2 198.4-147.2 76.8 0 121.6 19.2 121.6 64 0 32-19.2 57.6-76.8 76.8l-76.8 19.2c-96 25.6-134.4 76.8-134.4 153.6 0 128 102.4 172.8 211.2 172.8 121.6 0 192-44.8 204.8-153.6l-115.2-12.8c-6.4 51.2-38.4 70.4-89.6 70.4s-83.2-25.6-83.2-64 12.8-57.6 64-70.4l76.8-19.2c89.6-25.6 140.8-70.4 140.8-166.4 0-121.6-96-166.4-243.2-166.4z" />
+<glyph unicode="&#xe65a;" d="M928 960h-832c-51.2 0-96-44.8-96-96v-825.6c0-57.6 44.8-102.4 96-102.4h825.6c57.6 0 96 44.8 96 96v832c6.4 51.2-38.4 96-89.6 96zM512 646.4c108.8 0 198.4-89.6 198.4-198.4s-89.6-198.4-198.4-198.4-198.4 89.6-198.4 198.4 89.6 198.4 198.4 198.4zM896 102.4c0-19.2-19.2-38.4-38.4-38.4h-691.2c-19.2 0-38.4 19.2-38.4 38.4v409.6h89.6c-6.4-25.6-6.4-51.2-6.4-76.8 0-166.4 128-307.2 300.8-307.2s300.8 140.8 300.8 307.2c0 25.6-6.4 51.2-12.8 76.8h96v-409.6zM896 678.4c0-19.2-19.2-38.4-38.4-38.4h-115.2c-19.2 0-38.4 19.2-38.4 38.4v115.2c0 19.2 19.2 38.4 38.4 38.4h115.2c19.2 0 38.4-19.2 38.4-38.4v-115.2z" />
+<glyph unicode="&#xe65b;" d="M64 960l64-896 384-128 384 128 64 896h-896zM780.8 659.2h-428.8l12.8-115.2h409.6l-32-352-230.4-64-230.4 64-12.8 179.2h115.2v-89.6l128-32 128 32 12.8 147.2h-390.4l-32 345.6h563.2l-12.8-115.2z" />
+<glyph unicode="&#xe65c;" d="M0 435.2c0-44.8 6.4-89.6 12.8-128s19.2-70.4 38.4-96c12.8-25.6 32-51.2 57.6-70.4s51.2-38.4 76.8-51.2c25.6-12.8 57.6-25.6 96-32l108.8-19.2s76.8-6.4 121.6-6.4 83.2 0 121.6 6.4 70.4 6.4 108.8 19.2c38.4 6.4 70.4 19.2 96 32s51.2 32 76.8 51.2c25.6 19.2 44.8 44.8 57.6 70.4 12.8 25.6 25.6 57.6 38.4 96 12.8 38.4 12.8 83.2 12.8 128 0 83.2-25.6 153.6-83.2 217.6l6.4 25.6c0 12.8 6.4 25.6 6.4 44.8v64l-19.2 76.8h-32c-12.8 0-25.6-6.4-44.8-6.4-19.2-6.4-38.4-12.8-64-25.6l-76.8-51.2c-51.2 12.8-121.6 19.2-204.8 19.2s-153.6-6.4-198.4-19.2c-32 19.2-57.6 32-83.2 44.8-25.6 12.8-44.8 19.2-64 25.6l-38.4 12.8h-38.4l-19.2-76.8c-6.4-25.6-6.4-44.8 0-64 0-19.2 6.4-32 6.4-44.8 0-12.8 6.4-19.2 6.4-25.6-57.6-64-83.2-134.4-83.2-217.6zM128 307.2c0 44.8 19.2 89.6 64 134.4 12.8 12.8 25.6 19.2 44.8 25.6 19.2 6.4 38.4 12.8 57.6 12.8h64c19.2 0 44.8 0 76.8-6.4h153.6c25.6 0 51.2 6.4 70.4 6.4h64c19.2 0 44.8-6.4 57.6-12.8 19.2-6.4 32-12.8 44.8-25.6 44.8-38.4 64-83.2 64-134.4 0-25.6-6.4-51.2-12.8-76.8l-25.6-57.6c-12.8-12.8-25.6-25.6-44.8-38.4-19.2-12.8-38.4-19.2-57.6-25.6-19.2-6.4-44.8-12.8-70.4-12.8-32 0-57.6-6.4-76.8-6.4-25.6 6.4-57.6 6.4-89.6 6.4h-89.6c-25.6 0-51.2 0-76.8 6.4-32 0-51.2 6.4-70.4 12.8-19.2 6.4-38.4 12.8-57.6 25.6-25.6 12.8-44.8 19.2-51.2 38.4-12.8 12.8-19.2 32-25.6 57.6-12.8 19.2-12.8 44.8-12.8 70.4zM640 320c0-51.2 25.6-96 64-96s64 44.8 64 96-25.6 96-64 96c-32 0-64-44.8-64-96zM256 320c0-51.2 32-96 64-96s64 44.8 64 96-25.6 96-64 96-64-44.8-64-96z" />
+<glyph unicode="&#xe65d;" d="M985.6 364.8l-390.4-390.4c-44.8-44.8-121.6-44.8-166.4 0l-396.8 390.4c-44.8 44.8-44.8 121.6 0 166.4l390.4 390.4c51.2 51.2 128 51.2 172.8 6.4l179.2-179.2-262.4-268.8-102.4 102.4c-32 32-83.2 32-108.8 0l-83.2-83.2c-32-32-32-76.8 0-108.8l236.8-236.8c25.6-25.6 57.6-25.6 83.2-19.2 12.8 6.4 19.2 6.4 25.6 19.2l396.8 403.2 19.2-19.2c57.6-51.2 57.6-128 6.4-172.8zM550.4 224c-12.8-12.8-44.8-12.8-44.8-12.8s-32 0-38.4 12.8l-179.2 185.6c-12.8 12.8-12.8 38.4 0 57.6l51.2 51.2c12.8 12.8 44.8 12.8 57.6 0l115.2-121.6 352 352c12.8 12.8 44.8 12.8 57.6 0l51.2-51.2c12.8-12.8 12.8-44.8 0-57.6l-422.4-416z" />
+<glyph unicode="&#xe65e;" d="M512 748.8l211.2 179.2 300.8-198.4-204.8-166.4-307.2 185.6zM1024 396.8l-300.8-198.4-211.2 172.8 300.8 185.6 211.2-160zM300.8 198.4l-300.8 198.4 204.8 166.4 307.2-192-211.2-172.8zM0 729.6l300.8 198.4 211.2-179.2-300.8-192-211.2 172.8zM512 332.8l211.2-179.2 89.6 57.6v-64l-300.8-179.2-300.8 179.2v64l89.6-51.2 211.2 172.8z" />
+<glyph unicode="&#xe65f;" d="M864 249.6c-38.4 0-64 32-64 64v256c0 38.4 32 64 64 64 38.4 0 64-32 64-64v-256c0-32-25.6-64-64-64zM697.6 102.4h-38.4v-108.8c0-38.4-25.6-64-57.6-64s-57.6 25.6-57.6 64v108.8h-70.4v-108.8c0-38.4-25.6-64-57.6-64s-57.6 25.6-57.6 64v108.8h-32c-19.2 0-38.4 19.2-38.4 44.8v428.8h448v-422.4c0-32-12.8-51.2-38.4-51.2zM736 633.6h-448c0 89.6 32 153.6 76.8 192l-70.4 83.2c-6.4 12.8-6.4 25.6 0 38.4 12.8 12.8 25.6 12.8 38.4 0l83.2-96c32 12.8 64 19.2 96 19.2s70.4-6.4 96-19.2l83.2 96c12.8 12.8 25.6 12.8 38.4 0s12.8-32 0-38.4l-70.4-83.2c44.8-32 76.8-102.4 76.8-192zM441.6 761.6c-12.8 0-25.6-12.8-25.6-32s12.8-32 25.6-32 25.6 12.8 25.6 32-12.8 32-25.6 32zM582.4 761.6c-12.8 0-25.6-12.8-25.6-32s12.8-32 25.6-32 25.6 19.2 25.6 32-12.8 32-25.6 32zM160 249.6c-38.4 0-64 32-64 64v256c0 38.4 25.6 64 64 64s64-32 64-64v-256c0-32-25.6-64-64-64z" />
+<glyph unicode="&#xe660;" d="M921.6 211.2c-32-153.6-115.2-211.2-147.2-249.6-32-25.6-121.6-25.6-153.6-6.4-38.4 25.6-134.4 25.6-166.4 0-44.8-32-115.2-19.2-128-12.8-256 179.2-352 716.8 12.8 774.4 64 12.8 134.4-32 134.4-32 51.2-25.6 70.4-12.8 115.2 6.4 96 44.8 243.2 44.8 313.6-76.8-147.2-96-153.6-294.4 19.2-403.2zM716.8 960c12.8-70.4-64-224-204.8-230.4-12.8 38.4 32 217.6 204.8 230.4z" />
+</font></defs></svg>

docs/waifu_plugin/source

@@ -0,0 +1 @@
+https://github.com/fghrsh/live2d_demo

docs/waifu_plugin/waifu-tips.js

@@ -0,0 +1,405 @@
+window.live2d_settings = Array(); /*
+
+    く__,.ヘヽ.　　　　/　,ー､ 〉
+    　　　　　＼ ', !-─‐-i　/　/´
+    　　　 　 ／｀ｰ'　　　 L/／｀ヽ､            Live2D 看板娘 参数设置
+    　　 　 /　 ／,　 /|　 ,　 ,　　　 ',                                           Version 1.4.2
+    　　　ｲ 　/ /-‐/　ｉ　L_ ﾊ ヽ!　 i                            Update 2018.11.12
+    　　　 ﾚ ﾍ 7ｲ｀ﾄ　 ﾚ'ｧ-ﾄ､!ハ|　 |  
+    　　　　 !,/7 '0'　　 ´0iソ| 　 |　　　
+    　　　　 |.从"　　_　　 ,,,, / |./ 　 |             网页添加 Live2D 看板娘
+    　　　　 ﾚ'| i＞.､,,__　_,.イ / 　.i 　|                    https://www.fghrsh.net/post/123.html
+    　　　　　 ﾚ'| | / k_７_/ﾚ'ヽ,　ﾊ.　|           
+    　　　　　　 | |/i 〈|/　 i　,.ﾍ |　i　|    Thanks
+    　　　　　　.|/ /　ｉ： 　 ﾍ!　　＼　|          journey-ad / https://github.com/journey-ad/live2d_src
+    　　　 　 　 kヽ>､ﾊ 　 _,.ﾍ､ 　 /､!            xiazeyu / https://github.com/xiazeyu/live2d-widget.js
+    　　　　　　 !'〈//｀Ｔ´', ＼ ｀'7'ｰr'          Live2d Cubism SDK WebGL 2.1 Projrct & All model authors.
+    　　　　　　 ﾚ'ヽL__|___i,___,ンﾚ|ノ
+    　　　　　 　　　ﾄ-,/　|___./
+    　　　　　 　　　'ｰ'　　!_,.:*********************************************************************************/
+
+
+// 后端接口
+live2d_settings['modelAPI']             = '//live2d.fghrsh.net/api/';   // 自建 API 修改这里
+live2d_settings['tipsMessage']          = 'waifu-tips.json';            // 同目录下可省略路径
+live2d_settings['hitokotoAPI']          = 'lwl12.com';                  // 一言 API，可选 'lwl12.com', 'hitokoto.cn', 'jinrishici.com'(古诗词)
+
+// 默认模型
+live2d_settings['modelId']              = 1;            // 默认模型 ID，可在 F12 控制台找到
+live2d_settings['modelTexturesId']      = 53;           // 默认材质 ID，可在 F12 控制台找到
+
+// 工具栏设置
+live2d_settings['showToolMenu']         = true;         // 显示 工具栏          ，可选 true(真), false(假)
+live2d_settings['canCloseLive2d']       = true;         // 显示 关闭看板娘  按钮，可选 true(真), false(假)
+live2d_settings['canSwitchModel']       = true;         // 显示 模型切换    按钮，可选 true(真), false(假)
+live2d_settings['canSwitchTextures']    = true;         // 显示 材质切换    按钮，可选 true(真), false(假)
+live2d_settings['canSwitchHitokoto']    = true;         // 显示 一言切换    按钮，可选 true(真), false(假)
+live2d_settings['canTakeScreenshot']    = true;         // 显示 看板娘截图  按钮，可选 true(真), false(假)
+live2d_settings['canTurnToHomePage']    = true;         // 显示 返回首页    按钮，可选 true(真), false(假)
+live2d_settings['canTurnToAboutPage']   = true;         // 显示 跳转关于页  按钮，可选 true(真), false(假)
+
+// 模型切换模式
+live2d_settings['modelStorage']         = true;         // 记录 ID (刷新后恢复)，可选 true(真), false(假)
+live2d_settings['modelRandMode']        = 'switch';     // 模型切换，可选 'rand'(随机), 'switch'(顺序)
+live2d_settings['modelTexturesRandMode']= 'rand';       // 材质切换，可选 'rand'(随机), 'switch'(顺序)
+
+// 提示消息选项
+live2d_settings['showHitokoto']         = true;         // 显示一言
+live2d_settings['showF12Status']        = true;         // 显示加载状态
+live2d_settings['showF12Message']       = false;        // 显示看板娘消息
+live2d_settings['showF12OpenMsg']       = true;         // 显示控制台打开提示
+live2d_settings['showCopyMessage']      = true;         // 显示 复制内容 提示
+live2d_settings['showWelcomeMessage']   = true;         // 显示进入面页欢迎词
+
+//看板娘样式设置
+live2d_settings['waifuSize']            = '280x250';    // 看板娘大小，例如 '280x250', '600x535'
+live2d_settings['waifuTipsSize']        = '250x70';     // 提示框大小，例如 '250x70', '570x150'
+live2d_settings['waifuFontSize']        = '12px';       // 提示框字体，例如 '12px', '30px'
+live2d_settings['waifuToolFont']        = '14px';       // 工具栏字体，例如 '14px', '36px'
+live2d_settings['waifuToolLine']        = '20px';       // 工具栏行高，例如 '20px', '36px'
+live2d_settings['waifuToolTop']         = '0px'         // 工具栏顶部边距，例如 '0px', '-60px'
+live2d_settings['waifuMinWidth']        = '768px';      // 面页小于 指定宽度 隐藏看板娘，例如 'disable'(禁用), '768px'
+live2d_settings['waifuEdgeSide']        = 'left:0';     // 看板娘贴边方向，例如 'left:0'(靠左 0px), 'right:30'(靠右 30px)
+live2d_settings['waifuDraggable']       = 'disable';    // 拖拽样式，例如 'disable'(禁用), 'axis-x'(只能水平拖拽), 'unlimited'(自由拖拽)
+live2d_settings['waifuDraggableRevert'] = true;         // 松开鼠标还原拖拽位置，可选 true(真), false(假)
+
+// 其他杂项设置
+live2d_settings['l2dVersion']           = '1.4.2';        // 当前版本
+live2d_settings['l2dVerDate']           = '2018.11.12'; // 版本更新日期
+live2d_settings['homePageUrl']          = 'auto';       // 主页地址，可选 'auto'(自动), '{URL 网址}'
+live2d_settings['aboutPageUrl']         = 'https://www.fghrsh.net/post/123.html';   // 关于页地址, '{URL 网址}'
+live2d_settings['screenshotCaptureName']= 'live2d.png'; // 看板娘截图文件名，例如 'live2d.png'
+
+/****************************************************************************************************/
+
+String.prototype.render = function(context) {
+    var tokenReg = /(\\)?\{([^\{\}\\]+)(\\)?\}/g;
+
+    return this.replace(tokenReg, function (word, slash1, token, slash2) {
+        if (slash1 || slash2) { return word.replace('\\', ''); }
+        
+        var variables = token.replace(/\s/g, '').split('.');
+        var currentObject = context;
+        var i, length, variable;
+        
+        for (i = 0, length = variables.length; i < length; ++i) {
+            variable = variables[i];
+            currentObject = currentObject[variable];
+            if (currentObject === undefined || currentObject === null) return '';
+        }
+        return currentObject;
+    });
+};
+
+var re = /x/;
+console.log(re);
+
+function empty(obj) {return typeof obj=="undefined"||obj==null||obj==""?true:false}
+function getRandText(text) {return Array.isArray(text) ? text[Math.floor(Math.random() * text.length + 1)-1] : text}
+
+function showMessage(text, timeout, flag) {
+    if(flag || sessionStorage.getItem('waifu-text') === '' || sessionStorage.getItem('waifu-text') === null){
+        if(Array.isArray(text)) text = text[Math.floor(Math.random() * text.length + 1)-1];
+        if (live2d_settings.showF12Message) console.log('[Message]', text.replace(/<[^<>]+>/g,''));
+        
+        if(flag) sessionStorage.setItem('waifu-text', text);
+        
+        $('.waifu-tips').stop();
+        $('.waifu-tips').html(text).fadeTo(200, 1);
+        if (timeout === undefined) timeout = 5000;
+        hideMessage(timeout);
+    }
+}
+
+function hideMessage(timeout) {
+    $('.waifu-tips').stop().css('opacity',1);
+    if (timeout === undefined) timeout = 5000;
+    window.setTimeout(function() {sessionStorage.removeItem('waifu-text')}, timeout);
+    $('.waifu-tips').delay(timeout).fadeTo(200, 0);
+}
+
+function initModel(waifuPath, type) {
+    /* console welcome message */
+    eval(function(p,a,c,k,e,r){e=function(c){return(c<a?'':e(parseInt(c/a)))+((c=c%a)>35?String.fromCharCode(c+29):c.toString(36))};if(!''.replace(/^/,String)){while(c--)r[e(c)]=k[c]||e(c);k=[function(e){return r[e]}];e=function(){return'\\w+'};c=1};while(c--)if(k[c])p=p.replace(new RegExp('\\b'+e(c)+'\\b','g'),k[c]);return p}('8.d(" ");8.d("\\U,.\\y\\5.\\1\\1\\1\\1/\\1,\\u\\2 \\H\\n\\1\\1\\1\\1\\1\\b \', !-\\r\\j-i\\1/\\1/\\g\\n\\1\\1\\1 \\1 \\a\\4\\f\'\\1\\1\\1 L/\\a\\4\\5\\2\\n\\1\\1 \\1 /\\1 \\a,\\1 /|\\1 ,\\1 ,\\1\\1\\1 \',\\n\\1\\1\\1\\q \\1/ /-\\j/\\1\\h\\E \\9 \\5!\\1 i\\n\\1\\1\\1 \\3 \\6 7\\q\\4\\c\\1 \\3\'\\s-\\c\\2!\\t|\\1 |\\n\\1\\1\\1\\1 !,/7 \'0\'\\1\\1 \\X\\w| \\1 |\\1\\1\\1\\n\\1\\1\\1\\1 |.\\x\\"\\1\\l\\1\\1 ,,,, / |./ \\1 |\\n\\1\\1\\1\\1 \\3\'| i\\z.\\2,,A\\l,.\\B / \\1.i \\1|\\n\\1\\1\\1\\1\\1 \\3\'| | / C\\D/\\3\'\\5,\\1\\9.\\1|\\n\\1\\1\\1\\1\\1\\1 | |/i \\m|/\\1 i\\1,.\\6 |\\F\\1|\\n\\1\\1\\1\\1\\1\\1.|/ /\\1\\h\\G \\1 \\6!\\1\\1\\b\\1|\\n\\1\\1\\1 \\1 \\1 k\\5>\\2\\9 \\1 o,.\\6\\2 \\1 /\\2!\\n\\1\\1\\1\\1\\1\\1 !\'\\m//\\4\\I\\g\', \\b \\4\'7\'\\J\'\\n\\1\\1\\1\\1\\1\\1 \\3\'\\K|M,p,\\O\\3|\\P\\n\\1\\1\\1\\1\\1 \\1\\1\\1\\c-,/\\1|p./\\n\\1\\1\\1\\1\\1 \\1\\1\\1\'\\f\'\\1\\1!o,.:\\Q \\R\\S\\T v"+e.V+" / W "+e.N);8.d(" ");',60,60,'|u3000|uff64|uff9a|uff40|u30fd|uff8d||console|uff8a|uff0f|uff3c|uff84|log|live2d_settings|uff70|u00b4|uff49||u2010||u3000_|u3008||_|___|uff72|u2500|uff67|u30cf|u30fc||u30bd|u4ece|u30d8|uff1e|__|u30a4|k_|uff17_|u3000L_|u3000i|uff1a|u3009|uff34|uff70r|u30fdL__||___i|l2dVerDate|u30f3|u30ce|nLive2D|u770b|u677f|u5a18|u304f__|l2dVersion|FGHRSH|u00b40i'.split('|'),0,{}));
+    
+    /* 判断 JQuery */
+    if (typeof($.ajax) != 'function') typeof(jQuery.ajax) == 'function' ? window.$ = jQuery : console.log('[Error] JQuery is not defined.');
+    
+    /* 加载看板娘样式 */
+    live2d_settings.waifuSize = live2d_settings.waifuSize.split('x');
+    live2d_settings.waifuTipsSize = live2d_settings.waifuTipsSize.split('x');
+    live2d_settings.waifuEdgeSide = live2d_settings.waifuEdgeSide.split(':');
+    
+    $("#live2d").attr("width",live2d_settings.waifuSize[0]);
+    $("#live2d").attr("height",live2d_settings.waifuSize[1]);
+    $(".waifu-tips").width(live2d_settings.waifuTipsSize[0]);
+    $(".waifu-tips").height(live2d_settings.waifuTipsSize[1]);
+    $(".waifu-tips").css("top",live2d_settings.waifuToolTop);
+    $(".waifu-tips").css("font-size",live2d_settings.waifuFontSize);
+    $(".waifu-tool").css("font-size",live2d_settings.waifuToolFont);
+    $(".waifu-tool span").css("line-height",live2d_settings.waifuToolLine);
+    
+    if (live2d_settings.waifuEdgeSide[0] == 'left') $(".waifu").css("left",live2d_settings.waifuEdgeSide[1]+'px');
+    else if (live2d_settings.waifuEdgeSide[0] == 'right') $(".waifu").css("right",live2d_settings.waifuEdgeSide[1]+'px');
+    
+    window.waifuResize = function() { $(window).width() <= Number(live2d_settings.waifuMinWidth.replace('px','')) ? $(".waifu").hide() : $(".waifu").show(); };
+    if (live2d_settings.waifuMinWidth != 'disable') { waifuResize(); $(window).resize(function() {waifuResize()}); }
+    
+    try {
+        if (live2d_settings.waifuDraggable == 'axis-x') $(".waifu").draggable({ axis: "x", revert: live2d_settings.waifuDraggableRevert });
+        else if (live2d_settings.waifuDraggable == 'unlimited') $(".waifu").draggable({ revert: live2d_settings.waifuDraggableRevert });
+        else $(".waifu").css("transition", 'all .3s ease-in-out');
+    } catch(err) { console.log('[Error] JQuery UI is not defined.') }
+    
+    live2d_settings.homePageUrl = live2d_settings.homePageUrl == 'auto' ? window.location.protocol+'//'+window.location.hostname+'/' : live2d_settings.homePageUrl;
+    if (window.location.protocol == 'file:' && live2d_settings.modelAPI.substr(0,2) == '//') live2d_settings.modelAPI = 'http:'+live2d_settings.modelAPI;
+    
+    $('.waifu-tool .fui-home').click(function (){
+        //window.location = 'https://www.fghrsh.net/';
+        window.location = live2d_settings.homePageUrl;
+    });
+    
+    $('.waifu-tool .fui-info-circle').click(function (){
+        //window.open('https://imjad.cn/archives/lab/add-dynamic-poster-girl-with-live2d-to-your-blog-02');
+        window.open(live2d_settings.aboutPageUrl);
+    });
+    
+    if (typeof(waifuPath) == "object") loadTipsMessage(waifuPath); else {
+        $.ajax({
+            cache: true,
+            url: waifuPath == '' ? live2d_settings.tipsMessage : (waifuPath.substr(waifuPath.length-15)=='waifu-tips.json'?waifuPath:waifuPath+'waifu-tips.json'),
+            dataType: "json",
+            success: function (result){ loadTipsMessage(result); }
+        });
+    }
+    
+    if (!live2d_settings.showToolMenu) $('.waifu-tool').hide();
+    if (!live2d_settings.canCloseLive2d) $('.waifu-tool .fui-cross').hide();
+    if (!live2d_settings.canSwitchModel) $('.waifu-tool .fui-eye').hide();
+    if (!live2d_settings.canSwitchTextures) $('.waifu-tool .fui-user').hide();
+    if (!live2d_settings.canSwitchHitokoto) $('.waifu-tool .fui-chat').hide();
+    if (!live2d_settings.canTakeScreenshot) $('.waifu-tool .fui-photo').hide();
+    if (!live2d_settings.canTurnToHomePage) $('.waifu-tool .fui-home').hide();
+    if (!live2d_settings.canTurnToAboutPage) $('.waifu-tool .fui-info-circle').hide();
+
+    if (waifuPath === undefined) waifuPath = '';
+    var modelId = localStorage.getItem('modelId');
+    var modelTexturesId = localStorage.getItem('modelTexturesId');
+    
+    if (!live2d_settings.modelStorage || modelId == null) {
+        var modelId = live2d_settings.modelId;
+        var modelTexturesId = live2d_settings.modelTexturesId;
+    } loadModel(modelId, modelTexturesId);
+}
+
+function loadModel(modelId, modelTexturesId=0) {
+    if (live2d_settings.modelStorage) {
+        localStorage.setItem('modelId', modelId);
+        localStorage.setItem('modelTexturesId', modelTexturesId);
+    } else {
+        sessionStorage.setItem('modelId', modelId);
+        sessionStorage.setItem('modelTexturesId', modelTexturesId);
+    } loadlive2d('live2d', live2d_settings.modelAPI+'get/?id='+modelId+'-'+modelTexturesId, (live2d_settings.showF12Status ? console.log('[Status]','live2d','模型',modelId+'-'+modelTexturesId,'加载完成'):null));
+}
+
+function loadTipsMessage(result) {
+    window.waifu_tips = result;
+    
+    $.each(result.mouseover, function (index, tips){
+        $(document).on("mouseover", tips.selector, function (){
+            var text = getRandText(tips.text);
+            text = text.render({text: $(this).text()});
+            showMessage(text, 3000);
+        });
+    });
+    $.each(result.click, function (index, tips){
+        $(document).on("click", tips.selector, function (){
+            var text = getRandText(tips.text);
+            text = text.render({text: $(this).text()});
+            showMessage(text, 3000, true);
+        });
+    });
+    $.each(result.seasons, function (index, tips){
+        var now = new Date();
+        var after = tips.date.split('-')[0];
+        var before = tips.date.split('-')[1] || after;
+        
+        if((after.split('/')[0] <= now.getMonth()+1 && now.getMonth()+1 <= before.split('/')[0]) && 
+           (after.split('/')[1] <= now.getDate() && now.getDate() <= before.split('/')[1])){
+            var text = getRandText(tips.text);
+            text = text.render({year: now.getFullYear()});
+            showMessage(text, 6000, true);
+        }
+    });
+    
+    if (live2d_settings.showF12OpenMsg) {
+        re.toString = function() {
+            showMessage(getRandText(result.waifu.console_open_msg), 5000, true);
+            return '';
+        };
+    }
+    
+    if (live2d_settings.showCopyMessage) {
+        $(document).on('copy', function() {
+            showMessage(getRandText(result.waifu.copy_message), 5000, true);
+        });
+    }
+    
+    $('.waifu-tool .fui-photo').click(function(){
+        showMessage(getRandText(result.waifu.screenshot_message), 5000, true);
+        window.Live2D.captureName = live2d_settings.screenshotCaptureName;
+        window.Live2D.captureFrame = true;
+    });
+    
+    $('.waifu-tool .fui-cross').click(function(){
+        sessionStorage.setItem('waifu-dsiplay', 'none');
+        showMessage(getRandText(result.waifu.hidden_message), 1300, true);
+        window.setTimeout(function() {$('.waifu').hide();}, 1300);
+    });
+    
+    window.showWelcomeMessage = function(result) {
+        var text;
+        if (window.location.href == live2d_settings.homePageUrl) {
+            var now = (new Date()).getHours();
+            if (now > 23 || now <= 5) text = getRandText(result.waifu.hour_tips['t23-5']);
+            else if (now > 5 && now <= 7) text = getRandText(result.waifu.hour_tips['t5-7']);
+            else if (now > 7 && now <= 11) text = getRandText(result.waifu.hour_tips['t7-11']);
+            else if (now > 11 && now <= 14) text = getRandText(result.waifu.hour_tips['t11-14']);
+            else if (now > 14 && now <= 17) text = getRandText(result.waifu.hour_tips['t14-17']);
+            else if (now > 17 && now <= 19) text = getRandText(result.waifu.hour_tips['t17-19']);
+            else if (now > 19 && now <= 21) text = getRandText(result.waifu.hour_tips['t19-21']);
+            else if (now > 21 && now <= 23) text = getRandText(result.waifu.hour_tips['t21-23']);
+            else text = getRandText(result.waifu.hour_tips.default);
+        } else {
+            var referrer_message = result.waifu.referrer_message;
+            if (document.referrer !== '') {
+                var referrer = document.createElement('a');
+                referrer.href = document.referrer;
+                var domain = referrer.hostname.split('.')[1];
+                if (window.location.hostname == referrer.hostname)
+                    text = referrer_message.localhost[0] + document.title.split(referrer_message.localhost[2])[0] + referrer_message.localhost[1];
+                else if (domain == 'baidu')
+                    text = referrer_message.baidu[0] + referrer.search.split('&wd=')[1].split('&')[0] + referrer_message.baidu[1];
+                else if (domain == 'so')
+                    text = referrer_message.so[0] + referrer.search.split('&q=')[1].split('&')[0] + referrer_message.so[1];
+                else if (domain == 'google')
+                    text = referrer_message.google[0] + document.title.split(referrer_message.google[2])[0] + referrer_message.google[1];
+                else {
+                    $.each(result.waifu.referrer_hostname, function(i,val) {if (i==referrer.hostname) referrer.hostname = getRandText(val)});
+                    text = referrer_message.default[0] + referrer.hostname + referrer_message.default[1];
+                }
+            } else text = referrer_message.none[0] + document.title.split(referrer_message.none[2])[0] + referrer_message.none[1];
+        }
+        showMessage(text, 6000);
+    }; if (live2d_settings.showWelcomeMessage) showWelcomeMessage(result);
+    
+    var waifu_tips = result.waifu;
+    
+    function loadOtherModel() {
+        var modelId = modelStorageGetItem('modelId');
+        var modelRandMode = live2d_settings.modelRandMode;
+        
+        $.ajax({
+            cache: modelRandMode == 'switch' ? true : false,
+            url: live2d_settings.modelAPI+modelRandMode+'/?id='+modelId,
+            dataType: "json",
+            success: function(result) {
+                loadModel(result.model['id']);
+                var message = result.model['message'];
+                $.each(waifu_tips.model_message, function(i,val) {if (i==result.model['id']) message = getRandText(val)});
+                showMessage(message, 3000, true);
+            }
+        });
+    }
+    
+    function loadRandTextures() {
+        var modelId = modelStorageGetItem('modelId');
+        var modelTexturesId = modelStorageGetItem('modelTexturesId');
+        var modelTexturesRandMode = live2d_settings.modelTexturesRandMode;
+        
+        $.ajax({
+            cache: modelTexturesRandMode == 'switch' ? true : false,
+            url: live2d_settings.modelAPI+modelTexturesRandMode+'_textures/?id='+modelId+'-'+modelTexturesId,
+            dataType: "json",
+            success: function(result) {
+                if (result.textures['id'] == 1 && (modelTexturesId == 1 || modelTexturesId == 0))
+                    showMessage(waifu_tips.load_rand_textures[0], 3000, true);
+                else showMessage(waifu_tips.load_rand_textures[1], 3000, true);
+                loadModel(modelId, result.textures['id']);
+            }
+        });
+    }
+    
+    function modelStorageGetItem(key) { return live2d_settings.modelStorage ? localStorage.getItem(key) : sessionStorage.getItem(key); }
+    
+    /* 检测用户活动状态，并在空闲时显示一言 */
+    if (live2d_settings.showHitokoto) {
+        window.getActed = false; window.hitokotoTimer = 0; window.hitokotoInterval = false;
+        $(document).mousemove(function(e){getActed = true;}).keydown(function(){getActed = true;});
+        setInterval(function(){ if (!getActed) ifActed(); else elseActed(); }, 1000);
+    }
+    
+    function ifActed() {
+        if (!hitokotoInterval) {
+            hitokotoInterval = true;
+            hitokotoTimer = window.setInterval(showHitokotoActed, 30000);
+        }
+    }
+    
+    function elseActed() {
+        getActed = hitokotoInterval = false;
+        window.clearInterval(hitokotoTimer);
+    }
+    
+    function showHitokotoActed() {
+        if ($(document)[0].visibilityState == 'visible') showHitokoto();
+    }
+    
+    function showHitokoto() {
+    	switch(live2d_settings.hitokotoAPI) {
+    	    case 'lwl12.com':
+    	        $.getJSON('https://api.lwl12.com/hitokoto/v1?encode=realjson',function(result){
+        	        if (!empty(result.source)) {
+                        var text = waifu_tips.hitokoto_api_message['lwl12.com'][0];
+                        if (!empty(result.author)) text += waifu_tips.hitokoto_api_message['lwl12.com'][1];
+                        text = text.render({source: result.source, creator: result.author});
+                        window.setTimeout(function() {showMessage(text+waifu_tips.hitokoto_api_message['lwl12.com'][2], 3000, true);}, 5000);
+                    } showMessage(result.text, 5000, true);
+                });break;
+    	    case 'fghrsh.net':
+    	        $.getJSON('https://api.fghrsh.net/hitokoto/rand/?encode=jsc&uid=3335',function(result){
+            	    if (!empty(result.source)) {
+                        var text = waifu_tips.hitokoto_api_message['fghrsh.net'][0];
+                        text = text.render({source: result.source, date: result.date});
+                        window.setTimeout(function() {showMessage(text, 3000, true);}, 5000);
+                        showMessage(result.hitokoto, 5000, true);
+            	    }
+                });break;
+            case 'jinrishici.com':
+                $.ajax({
+                    url: 'https://v2.jinrishici.com/one.json',
+                    xhrFields: {withCredentials: true},
+                    success: function (result, status) {
+                        if (!empty(result.data.origin.title)) {
+                            var text = waifu_tips.hitokoto_api_message['jinrishici.com'][0];
+                            text = text.render({title: result.data.origin.title, dynasty: result.data.origin.dynasty, author:result.data.origin.author});
+                            window.setTimeout(function() {showMessage(text, 3000, true);}, 5000);
+                        } showMessage(result.data.content, 5000, true);
+                    }
+                });break;
+    	    default:
+    	        $.getJSON('https://v1.hitokoto.cn',function(result){
+            	    if (!empty(result.from)) {
+                        var text = waifu_tips.hitokoto_api_message['hitokoto.cn'][0];
+                        text = text.render({source: result.from, creator: result.creator});
+                        window.setTimeout(function() {showMessage(text, 3000, true);}, 5000);
+            	    }
+                    showMessage(result.hitokoto, 5000, true);
+                });
+    	}
+    }
+    
+    $('.waifu-tool .fui-eye').click(function (){loadOtherModel()});
+    $('.waifu-tool .fui-user').click(function (){loadRandTextures()});
+    $('.waifu-tool .fui-chat').click(function (){showHitokoto()});
+}

docs/waifu_plugin/waifu-tips.json

@@ -0,0 +1,116 @@
+{
+    "waifu": {
+        "console_open_msg": ["哈哈，你打开了控制台，是想要看看我的秘密吗？"],
+        "copy_message": ["你都复制了些什么呀，转载要记得加上出处哦"],
+        "screenshot_message": ["照好了嘛，是不是很可爱呢？"],
+        "hidden_message": ["我们还能再见面的吧…"],
+        "load_rand_textures": ["我还没有其他衣服呢", "我的新衣服好看嘛"],
+        "hour_tips": {
+            "t0-5": ["快睡觉去吧，年纪轻轻小心猝死哦"],
+            "t5-7": ["早上好！一日之计在于晨，美好的一天就要开始了"],
+            "t7-11": ["上午好！工作顺利嘛，不要久坐，多起来走动走动哦！"],
+            "t11-14": ["中午了，工作了一个上午，现在是午餐时间！"],
+            "t14-17": ["午后很容易犯困呢，今天的运动目标完成了吗？"],
+            "t17-19": ["傍晚了！窗外夕阳的景色很美丽呢，最美不过夕阳红~"],
+            "t19-21": ["晚上好，今天过得怎么样？"],
+            "t21-23": ["已经这么晚了呀，早点休息吧，晚安~"],
+            "t23-24": ["你是夜猫子呀？这么晚还不睡觉，明天起的来嘛"],
+            "default": ["嗨~ 快来逗我玩吧！"]
+        },
+        "referrer_message": {
+            "localhost": ["欢迎使用<span style=\"color:rgba(245, 20, 20, 0.62);\">『ChatGPT", "』</span>", " - "],
+            "baidu": ["Hello! 来自 百度搜索 的朋友<br>你是搜索 <span style=\"color:rgba(245, 20, 20, 0.62);\">", "</span> 找到的我吗？"],
+            "so": ["Hello! 来自 360搜索 的朋友<br>你是搜索 <span style=\"color:rgba(245, 20, 20, 0.62);\">", "</span> 找到的我吗？"],
+            "google": ["Hello! 来自 谷歌搜索 的朋友<br>欢迎使用<span style=\"color:rgba(245, 20, 20, 0.62);\">『ChatGPT", "』</span>", " - "],
+            "default": ["Hello! 来自 <span style=\"color:rgba(245, 20, 20, 0.62);\">", "</span> 的朋友"],
+            "none": ["欢迎使用<span style=\"color:rgba(245, 20, 20, 0.62);\">『ChatGPT", "』</span>", " - "]
+        },
+        "referrer_hostname": {
+            "example.com": ["示例网站"],
+            "www.fghrsh.net": ["FGHRSH 的博客"]
+        },
+        "model_message": {
+            "1": ["来自 Potion Maker 的 Pio 酱 ~"],
+            "2": ["来自 Potion Maker 的 Tia 酱 ~"]  
+        },
+        "hitokoto_api_message": {
+            "lwl12.com": ["这句一言来自 <span style=\"color:#0099cc;\">『{source}』</span>", "，是 <span style=\"color:#0099cc;\">{creator}</span> 投稿的", "。"],
+            "fghrsh.net": ["这句一言出处是 <span style=\"color:#0099cc;\">『{source}』</span>，是 <span style=\"color:#0099cc;\">FGHRSH</span> 在 {date} 收藏的！"],
+            "jinrishici.com": ["这句诗词出自 <span style=\"color:#0099cc;\">《{title}》</span>，是 {dynasty}诗人 {author} 创作的！"],
+            "hitokoto.cn": ["这句一言来自 <span style=\"color:#0099cc;\">『{source}』</span>，是 <span style=\"color:#0099cc;\">{creator}</span> 在 hitokoto.cn 投稿的。"]
+        }
+    },
+    "mouseover": [
+        { "selector": ".container a[href^='http']", "text": ["要看看 <span style=\"color:#0099cc;\">{text}</span> 么？"] },
+        { "selector": ".fui-home", "text": ["点击前往首页，想回到上一页可以使用浏览器的后退功能哦"] },
+        { "selector": ".fui-chat", "text": ["一言一语，一颦一笑。一字一句，一颗赛艇。"] },
+        { "selector": ".fui-eye", "text": ["嗯··· 要切换 看板娘 吗？"] },
+        { "selector": ".fui-user", "text": ["喜欢换装 Play 吗？"] },
+        { "selector": ".fui-photo", "text": ["要拍张纪念照片吗？"] },
+        { "selector": ".fui-info-circle", "text": ["这里有关于我的信息呢"] },
+        { "selector": ".fui-cross", "text": ["你不喜欢我了吗..."] },
+        { "selector": "#tor_show", "text": ["翻页比较麻烦吗，点击可以显示这篇文章的目录呢"] },
+        { "selector": "#comment_go", "text": ["想要去评论些什么吗？"] },
+        { "selector": "#night_mode", "text": ["深夜时要爱护眼睛呀"] },
+        { "selector": "#qrcode", "text": ["手机扫一下就能继续看，很方便呢"] },
+        { "selector": ".comment_reply", "text": ["要吐槽些什么呢"] },
+        { "selector": "#back-to-top", "text": ["回到开始的地方吧"] },
+        { "selector": "#author", "text": ["该怎么称呼你呢"] },
+        { "selector": "#mail", "text": ["留下你的邮箱，不然就是无头像人士了"] },
+        { "selector": "#url", "text": ["你的家在哪里呢，好让我去参观参观"] },
+        { "selector": "#textarea", "text": ["认真填写哦，垃圾评论是禁止事项"] },
+        { "selector": ".OwO-logo", "text": ["要插入一个表情吗"] },
+        { "selector": "#csubmit", "text": ["要[提交]^(Commit)了吗，首次评论需要审核，请耐心等待~"] },
+        { "selector": ".ImageBox", "text": ["点击图片可以放大呢"] },
+        { "selector": "input[name=s]", "text": ["找不到想看的内容？搜索看看吧"] },
+        { "selector": ".previous", "text": ["去上一页看看吧"] },
+        { "selector": ".next", "text": ["去下一页看看吧"] },
+        { "selector": ".dropdown-toggle", "text": ["这里是菜单"] },
+        { "selector": "c-player a.play-icon", "text": ["想要听点音乐吗"] },
+        { "selector": "c-player div.time", "text": ["在这里可以调整<span style=\"color:#0099cc;\">播放进度</span>呢"] },
+        { "selector": "c-player div.volume", "text": ["在这里可以调整<span style=\"color:#0099cc;\">音量</span>呢"] },
+        { "selector": "c-player div.list-button", "text": ["<span style=\"color:#0099cc;\">播放列表</span>里都有什么呢"] },
+        { "selector": "c-player div.lyric-button", "text": ["有<span style=\"color:#0099cc;\">歌词</span>的话就能跟着一起唱呢"] },
+        { "selector": ".waifu #live2d", "text": [
+            "别玩了，快去学习！",
+            "偶尔放松下眼睛吧。",
+            "看什么看(*^▽^*)",
+            "焦虑时，吃顿大餐心情就好啦^_^",
+            "你这个年纪，怎么睡得着觉的你^_^",
+            "修改ADD_WAIFU=False，我就不再打扰你了~",
+            "经常去github看看我们的更新吧，也许有好玩的新功能呢。",
+            "试试本地大模型吧，有的也很强大的哦。",
+            "很多强大的函数插件隐藏在下拉菜单中呢。",
+            "红色的插件，使用之前需要把文件上传进去哦。",
+            "想添加功能按钮吗？读读readme很容易就学会啦。",
+            "敏感或机密的信息，不可以问chatGPT的哦！",
+            "chatGPT究竟是划时代的创新，还是扼杀创造力的毒药呢？"
+        ] }
+    ],
+    "click": [
+        {
+            "selector": ".waifu #live2d",
+            "text": [
+                "是…是不小心碰到了吧",
+                "萝莉控是什么呀",
+                "你看到我的小熊了吗",
+                "再摸的话我可要报警了！⌇●﹏●⌇",
+                "110吗，这里有个变态一直在摸我(ó﹏ò｡)"
+            ]
+        }
+    ],
+    "seasons": [
+        { "date": "01/01", "text": ["<span style=\"color:#0099cc;\">元旦</span>了呢，新的一年又开始了，今年是{year}年~"] },
+        { "date": "02/14", "text": ["又是一年<span style=\"color:#0099cc;\">情人节</span>，{year}年找到对象了嘛~"] },
+        { "date": "03/08", "text": ["今天是<span style=\"color:#0099cc;\">妇女节</span>！"] },
+        { "date": "03/12", "text": ["今天是<span style=\"color:#0099cc;\">植树节</span>，要保护环境呀"] },
+        { "date": "04/01", "text": ["悄悄告诉你一个秘密~<span style=\"background-color:#34495e;\">今天是愚人节，不要被骗了哦~</span>"] },
+        { "date": "05/01", "text": ["今天是<span style=\"color:#0099cc;\">五一劳动节</span>，计划好假期去哪里了吗~"] },
+        { "date": "06/01", "text": ["<span style=\"color:#0099cc;\">儿童节</span>了呢，快活的时光总是短暂，要是永远长不大该多好啊…"] },
+        { "date": "09/03", "text": ["<span style=\"color:#0099cc;\">中国人民抗日战争胜利纪念日</span>，铭记历史、缅怀先烈、珍爱和平、开创未来。"] },
+        { "date": "09/10", "text": ["<span style=\"color:#0099cc;\">教师节</span>，在学校要给老师问声好呀~"] },
+        { "date": "10/01", "text": ["<span style=\"color:#0099cc;\">国庆节</span>，新中国已经成立69年了呢"] },
+        { "date": "11/05-11/12", "text": ["今年的<span style=\"color:#0099cc;\">双十一</span>是和谁一起过的呢~"] },
+        { "date": "12/20-12/31", "text": ["这几天是<span style=\"color:#0099cc;\">圣诞节</span>，主人肯定又去剁手买买买了~"] }
+    ]
+}

docs/waifu_plugin/waifu.css

@@ -0,0 +1,290 @@
+.waifu {
+    position: fixed;
+    bottom: 0;
+    z-index: 1;
+    font-size: 0;
+    -webkit-transform: translateY(3px);
+    transform: translateY(3px);
+}
+.waifu:hover {
+    -webkit-transform: translateY(0);
+    transform: translateY(0);
+}
+.waifu-tips {
+    opacity: 0;
+    margin: -20px 20px;
+    padding: 5px 10px;
+    border: 1px solid rgba(224, 186, 140, 0.62);
+    border-radius: 12px;
+    background-color: rgba(236, 217, 188, 0.5);
+    box-shadow: 0 3px 15px 2px rgba(191, 158, 118, 0.2);
+    text-overflow: ellipsis;
+    overflow: hidden;
+    position: absolute;
+    animation-delay: 5s;
+    animation-duration: 50s;
+    animation-iteration-count: infinite;
+    animation-name: shake;
+    animation-timing-function: ease-in-out;
+}
+.waifu-tool {
+    display: none;
+    color: #aaa;
+    top: 50px;
+    right: 10px;
+    position: absolute;
+}
+.waifu:hover .waifu-tool {
+    display: block;
+}
+.waifu-tool span {
+    display: block;
+    cursor: pointer;
+    color: #5b6c7d;
+    transition: 0.2s;
+}
+.waifu-tool span:hover {
+    color: #34495e;
+}
+.waifu #live2d{
+    position: relative;
+}
+
+@keyframes shake {
+    2% {
+        transform: translate(0.5px, -1.5px) rotate(-0.5deg);
+    }
+
+    4% {
+        transform: translate(0.5px, 1.5px) rotate(1.5deg);
+    }
+
+    6% {
+        transform: translate(1.5px, 1.5px) rotate(1.5deg);
+    }
+
+    8% {
+        transform: translate(2.5px, 1.5px) rotate(0.5deg);
+    }
+
+    10% {
+        transform: translate(0.5px, 2.5px) rotate(0.5deg);
+    }
+
+    12% {
+        transform: translate(1.5px, 1.5px) rotate(0.5deg);
+    }
+
+    14% {
+        transform: translate(0.5px, 0.5px) rotate(0.5deg);
+    }
+
+    16% {
+        transform: translate(-1.5px, -0.5px) rotate(1.5deg);
+    }
+
+    18% {
+        transform: translate(0.5px, 0.5px) rotate(1.5deg);
+    }
+
+    20% {
+        transform: translate(2.5px, 2.5px) rotate(1.5deg);
+    }
+
+    22% {
+        transform: translate(0.5px, -1.5px) rotate(1.5deg);
+    }
+
+    24% {
+        transform: translate(-1.5px, 1.5px) rotate(-0.5deg);
+    }
+
+    26% {
+        transform: translate(1.5px, 0.5px) rotate(1.5deg);
+    }
+
+    28% {
+        transform: translate(-0.5px, -0.5px) rotate(-0.5deg);
+    }
+
+    30% {
+        transform: translate(1.5px, -0.5px) rotate(-0.5deg);
+    }
+
+    32% {
+        transform: translate(2.5px, -1.5px) rotate(1.5deg);
+    }
+
+    34% {
+        transform: translate(2.5px, 2.5px) rotate(-0.5deg);
+    }
+
+    36% {
+        transform: translate(0.5px, -1.5px) rotate(0.5deg);
+    }
+
+    38% {
+        transform: translate(2.5px, -0.5px) rotate(-0.5deg);
+    }
+
+    40% {
+        transform: translate(-0.5px, 2.5px) rotate(0.5deg);
+    }
+
+    42% {
+        transform: translate(-1.5px, 2.5px) rotate(0.5deg);
+    }
+
+    44% {
+        transform: translate(-1.5px, 1.5px) rotate(0.5deg);
+    }
+
+    46% {
+        transform: translate(1.5px, -0.5px) rotate(-0.5deg);
+    }
+
+    48% {
+        transform: translate(2.5px, -0.5px) rotate(0.5deg);
+    }
+
+    50% {
+        transform: translate(-1.5px, 1.5px) rotate(0.5deg);
+    }
+
+    52% {
+        transform: translate(-0.5px, 1.5px) rotate(0.5deg);
+    }
+
+    54% {
+        transform: translate(-1.5px, 1.5px) rotate(0.5deg);
+    }
+
+    56% {
+        transform: translate(0.5px, 2.5px) rotate(1.5deg);
+    }
+
+    58% {
+        transform: translate(2.5px, 2.5px) rotate(0.5deg);
+    }
+
+    60% {
+        transform: translate(2.5px, -1.5px) rotate(1.5deg);
+    }
+
+    62% {
+        transform: translate(-1.5px, 0.5px) rotate(1.5deg);
+    }
+
+    64% {
+        transform: translate(-1.5px, 1.5px) rotate(1.5deg);
+    }
+
+    66% {
+        transform: translate(0.5px, 2.5px) rotate(1.5deg);
+    }
+
+    68% {
+        transform: translate(2.5px, -1.5px) rotate(1.5deg);
+    }
+
+    70% {
+        transform: translate(2.5px, 2.5px) rotate(0.5deg);
+    }
+
+    72% {
+        transform: translate(-0.5px, -1.5px) rotate(1.5deg);
+    }
+
+    74% {
+        transform: translate(-1.5px, 2.5px) rotate(1.5deg);
+    }
+
+    76% {
+        transform: translate(-1.5px, 2.5px) rotate(1.5deg);
+    }
+
+    78% {
+        transform: translate(-1.5px, 2.5px) rotate(0.5deg);
+    }
+
+    80% {
+        transform: translate(-1.5px, 0.5px) rotate(-0.5deg);
+    }
+
+    82% {
+        transform: translate(-1.5px, 0.5px) rotate(-0.5deg);
+    }
+
+    84% {
+        transform: translate(-0.5px, 0.5px) rotate(1.5deg);
+    }
+
+    86% {
+        transform: translate(2.5px, 1.5px) rotate(0.5deg);
+    }
+
+    88% {
+        transform: translate(-1.5px, 0.5px) rotate(1.5deg);
+    }
+
+    90% {
+        transform: translate(-1.5px, -0.5px) rotate(-0.5deg);
+    }
+
+    92% {
+        transform: translate(-1.5px, -1.5px) rotate(1.5deg);
+    }
+
+    94% {
+        transform: translate(0.5px, 0.5px) rotate(-0.5deg);
+    }
+
+    96% {
+        transform: translate(2.5px, -0.5px) rotate(-0.5deg);
+    }
+
+    98% {
+        transform: translate(-1.5px, -1.5px) rotate(-0.5deg);
+    }
+
+    0%, 100% {
+        transform: translate(0, 0) rotate(0);
+    }
+}
+@font-face {
+  font-family: 'Flat-UI-Icons';
+  src: url('flat-ui-icons-regular.eot');
+  src: url('flat-ui-icons-regular.eot?#iefix') format('embedded-opentype'), url('flat-ui-icons-regular.woff') format('woff'), url('flat-ui-icons-regular.ttf') format('truetype'), url('flat-ui-icons-regular.svg#flat-ui-icons-regular') format('svg');
+}
+[class^="fui-"],
+[class*="fui-"] {
+  font-family: 'Flat-UI-Icons';
+  speak: none;
+  font-style: normal;
+  font-weight: normal;
+  font-variant: normal;
+  text-transform: none;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+.fui-cross:before {
+  content: "\e609";
+}
+.fui-info-circle:before {
+  content: "\e60f";
+}
+.fui-photo:before {
+  content: "\e62a";
+}
+.fui-eye:before {
+  content: "\e62c";
+}
+.fui-chat:before {
+  content: "\e62d";
+}
+.fui-home:before {
+  content: "\e62e";
+}
+.fui-user:before {
+  content: "\e631";
+}

main.py

@@ -173,9 +173,6 @@ def main():
             yield from ArgsGeneralWrapper(crazy_fns[k]["Function"])(*args, **kwargs)
         click_handle = switchy_bt.click(route,[switchy_bt, *input_combo, gr.State(PORT)], output_combo)
         click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
-        # def expand_file_area(file_upload, area_file_up):
-        #     if len(file_upload)>0: return {area_file_up: gr.update(open=True)}
-        # click_handle.then(expand_file_area, [file_upload, area_file_up], [area_file_up])
         cancel_handles.append(click_handle)
         # 终止按钮的回调函数注册
         stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
@@ -189,7 +186,9 @@ def main():
         print(f"\t（暗色主题）: http://localhost:{PORT}/?__dark-theme=true")
         def open():
             time.sleep(2)       # 打开浏览器
-            webbrowser.open_new_tab(f"http://localhost:{PORT}/?__dark-theme=true")
+            DARK_MODE, = get_conf('DARK_MODE')
+            if DARK_MODE: webbrowser.open_new_tab(f"http://localhost:{PORT}/?__dark-theme=true")
+            else: webbrowser.open_new_tab(f"http://localhost:{PORT}")
         threading.Thread(target=open, name="open-browser", daemon=True).start()
         threading.Thread(target=auto_update, name="self-upgrade", daemon=True).start()
         threading.Thread(target=warm_up_modules, name="warm-up", daemon=True).start()

request_llm/bridge_chatglm.py

@@ -1,6 +1,7 @@
 
 from transformers import AutoModel, AutoTokenizer
 import time
+import threading
 import importlib
 from toolbox import update_ui, get_conf
 from multiprocessing import Process, Pipe
@@ -18,6 +19,7 @@ class GetGLMHandle(Process):
         self.success = True
         self.check_dependency()
         self.start()
+        self.threadLock = threading.Lock()
         
     def check_dependency(self):
         try:
@@ -32,6 +34,7 @@ class GetGLMHandle(Process):
         return self.chatglm_model is not None
 
     def run(self):
+        # 子进程执行
         # 第一次运行，加载参数
         retry = 0
         while True:
@@ -53,17 +56,25 @@ class GetGLMHandle(Process):
                     self.child.send('[Local Message] Call ChatGLM fail 不能正常加载ChatGLM的参数。')
                     raise RuntimeError("不能正常加载ChatGLM的参数！")
 
-        # 进入任务等待状态
         while True:
+            # 进入任务等待状态
             kwargs = self.child.recv()
+            # 收到消息，开始请求
             try:
                 for response, history in self.chatglm_model.stream_chat(self.chatglm_tokenizer, **kwargs):
                     self.child.send(response)
+                    # # 中途接收可能的终止指令（如果有的话）
+                    # if self.child.poll(): 
+                    #     command = self.child.recv()
+                    #     if command == '[Terminate]': break
             except:
                 self.child.send('[Local Message] Call ChatGLM fail.')
+            # 请求处理结束，开始下一个循环
             self.child.send('[Finish]')
 
     def stream_chat(self, **kwargs):
+        # 主进程执行
+        self.threadLock.acquire()
         self.parent.send(kwargs)
         while True:
             res = self.parent.recv()
@@ -71,7 +82,7 @@ class GetGLMHandle(Process):
                 yield res
             else:
                 break
-        return
+        self.threadLock.release()
     
 global glm_handle
 glm_handle = None
@@ -130,14 +141,20 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
         inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
 
+    # 处理历史信息
     history_feedin = []
     history_feedin.append(["What can I do?", system_prompt] )
     for i in range(len(history)//2):
         history_feedin.append([history[2*i], history[2*i+1]] )
 
+    # 开始接收chatglm的回复
+    response = "[Local Message]: 等待ChatGLM响应中 ..."
     for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
         chatbot[-1] = (inputs, response)
         yield from update_ui(chatbot=chatbot, history=history)
 
+    # 总结输出
+    if response == "[Local Message]: 等待ChatGLM响应中 ...":
+        response = "[Local Message]: ChatGLM响应异常 ..."
     history.extend([inputs, response])
-    yield from update_ui(chatbot=chatbot, history=history)
+    yield from update_ui(chatbot=chatbot, history=history)

request_llm/bridge_jittorllms.py

@@ -0,0 +1,153 @@
+
+from transformers import AutoModel, AutoTokenizer
+import time
+import threading
+import importlib
+from toolbox import update_ui, get_conf
+from multiprocessing import Process, Pipe
+
+load_message = "jittorllms尚未加载，加载需要一段时间。注意，取决于`config.py`的配置，jittorllms消耗大量的内存（CPU）或显存（GPU），也许会导致低配计算机卡死 ……"
+
+#################################################################################
+class GetGLMHandle(Process):
+    def __init__(self):
+        super().__init__(daemon=True)
+        self.parent, self.child = Pipe()
+        self.jittorllms_model = None
+        self.info = ""
+        self.success = True
+        self.check_dependency()
+        self.start()
+        self.threadLock = threading.Lock()
+        
+    def check_dependency(self):
+        try:
+            import jittor
+            from .jittorllms.models import get_model
+            self.info = "依赖检测通过"
+            self.success = True
+        except:
+            self.info = r"缺少jittorllms的依赖，如果要使用jittorllms，除了基础的pip依赖以外，您还需要运行`pip install -r request_llm/requirements_jittorllms.txt`"+\
+                        r"和`git clone https://gitlink.org.cn/jittor/JittorLLMs.git --depth 1 request_llm/jittorllms`两个指令来安装jittorllms的依赖（在项目根目录运行这两个指令）。"
+            self.success = False
+
+    def ready(self):
+        return self.jittorllms_model is not None
+
+    def run(self):
+        # 子进程执行
+        # 第一次运行，加载参数
+        def load_model():
+            import types
+            try:
+                if self.jittorllms_model is None:
+                    device, = get_conf('LOCAL_MODEL_DEVICE')
+                    from .jittorllms.models import get_model
+                    # availabel_models = ["chatglm", "pangualpha", "llama", "chatrwkv"]
+                    args_dict = {'model': 'chatglm', 'RUN_DEVICE':'cpu'}
+                    self.jittorllms_model = get_model(types.SimpleNamespace(**args_dict))
+            except:
+                self.child.send('[Local Message] Call jittorllms fail 不能正常加载jittorllms的参数。')
+                raise RuntimeError("不能正常加载jittorllms的参数！")
+        
+        load_model()
+
+        # 进入任务等待状态
+        while True:
+            # 进入任务等待状态
+            kwargs = self.child.recv()
+            # 收到消息，开始请求
+            try:
+                for response, history in self.jittorllms_model.run_web_demo(kwargs['query'], kwargs['history']):
+                    self.child.send(response)
+            except:
+                self.child.send('[Local Message] Call jittorllms fail.')
+            # 请求处理结束，开始下一个循环
+            self.child.send('[Finish]')
+
+    def stream_chat(self, **kwargs):
+        # 主进程执行
+        self.threadLock.acquire()
+        self.parent.send(kwargs)
+        while True:
+            res = self.parent.recv()
+            if res != '[Finish]':
+                yield res
+            else:
+                break
+        self.threadLock.release()
+    
+global glm_handle
+glm_handle = None
+#################################################################################
+def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=[], console_slience=False):
+    """
+        多线程方法
+        函数的说明请见 request_llm/bridge_all.py
+    """
+    global glm_handle
+    if glm_handle is None:
+        glm_handle = GetGLMHandle()
+        if len(observe_window) >= 1: observe_window[0] = load_message + "\n\n" + glm_handle.info
+        if not glm_handle.success: 
+            error = glm_handle.info
+            glm_handle = None
+            raise RuntimeError(error)
+
+    # jittorllms 没有 sys_prompt 接口，因此把prompt加入 history
+    history_feedin = []
+    history_feedin.append(["What can I do?", sys_prompt])
+    for i in range(len(history)//2):
+        history_feedin.append([history[2*i], history[2*i+1]] )
+
+    watch_dog_patience = 5 # 看门狗 (watchdog) 的耐心, 设置5秒即可
+    response = ""
+    for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
+        if len(observe_window) >= 1:  observe_window[0] = response
+        if len(observe_window) >= 2:  
+            if (time.time()-observe_window[1]) > watch_dog_patience:
+                raise RuntimeError("程序终止。")
+    return response
+
+
+
+def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
+    """
+        单线程方法
+        函数的说明请见 request_llm/bridge_all.py
+    """
+    chatbot.append((inputs, ""))
+
+    global glm_handle
+    if glm_handle is None:
+        glm_handle = GetGLMHandle()
+        chatbot[-1] = (inputs, load_message + "\n\n" + glm_handle.info)
+        yield from update_ui(chatbot=chatbot, history=[])
+        if not glm_handle.success: 
+            glm_handle = None
+            return
+
+    if additional_fn is not None:
+        import core_functional
+        importlib.reload(core_functional)    # 热更新prompt
+        core_functional = core_functional.get_core_functions()
+        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
+        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+
+    # 处理历史信息
+    history_feedin = []
+    history_feedin.append(["What can I do?", system_prompt] )
+    for i in range(len(history)//2):
+        history_feedin.append([history[2*i], history[2*i+1]] )
+
+    # 开始接收jittorllms的回复
+    response = "[Local Message]: 等待jittorllms响应中 ..."
+    for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
+        chatbot[-1] = (inputs, response)
+        yield from update_ui(chatbot=chatbot, history=history)
+
+    # 总结输出
+    if response == "[Local Message]: 等待jittorllms响应中 ...":
+        response = "[Local Message]: jittorllms响应异常 ..."
+    history.extend([inputs, response])
+    yield from update_ui(chatbot=chatbot, history=history)

request_llm/bridge_newbing.py

@@ -15,6 +15,7 @@ load_message = "等待NewBing响应。"
 import time
 import json
 import re
+import logging
 import asyncio
 import importlib
 import threading
@@ -23,15 +24,15 @@ from multiprocessing import Process, Pipe
 
 def preprocess_newbing_out(s):
     pattern = r'\^(\d+)\^' # 匹配^数字^
-    sub = lambda m: '\['+m.group(1)+'\]' # 将匹配到的数字作为替换值
+    sub = lambda m: '('+m.group(1)+')' # 将匹配到的数字作为替换值
     result = re.sub(pattern, sub, s) # 替换操作
     if '[1]' in result:
-        result += '\n\n```\n' + "\n".join([r for r in result.split('\n') if r.startswith('[')]) + '\n```\n'
+        result += '\n\n```reference\n' + "\n".join([r for r in result.split('\n') if r.startswith('[')]) + '\n```\n'
     return result
 
 def preprocess_newbing_out_simple(result):
     if '[1]' in result:
-        result += '\n\n```\n' + "\n".join([r for r in result.split('\n') if r.startswith('[')]) + '\n```\n'
+        result += '\n\n```reference\n' + "\n".join([r for r in result.split('\n') if r.startswith('[')]) + '\n```\n'
     return result
 
 class NewBingHandle(Process):
@@ -88,14 +89,14 @@ class NewBingHandle(Process):
                 if a not in self.local_history:
                     self.local_history.append(a)
                     prompt += a + '\n'
-                if b not in self.local_history:
+                # if b not in self.local_history:
-                    self.local_history.append(b)
+                #     self.local_history.append(b)
-                    prompt += b + '\n'
+                #     prompt += b + '\n'
 
             # 问题
             prompt += question
             self.local_history.append(question)
-            
+            print('question:', prompt)
             # 提交
             async for final, response in self.newbing_model.ask_stream(
                 prompt=question,
@@ -108,7 +109,8 @@ class NewBingHandle(Process):
                 else:
                     print('-------- receive final ---------')
                     self.child.send('[Finish]')
-            
+                    # self.local_history.append(response)
+
     
     def run(self):
         """
@@ -239,11 +241,14 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         history_feedin.append([history[2*i], history[2*i+1]] )
 
     chatbot[-1] = (inputs, "[Local Message]: 等待NewBing响应中 ...")
+    response = "[Local Message]: 等待NewBing响应中 ..."
     yield from update_ui(chatbot=chatbot, history=history, msg="NewBing响应缓慢，尚未完成全部响应，请耐心完成后再提交新问题。")
     for response in newbing_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=system_prompt, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
         chatbot[-1] = (inputs, preprocess_newbing_out(response))
         yield from update_ui(chatbot=chatbot, history=history, msg="NewBing响应缓慢，尚未完成全部响应，请耐心完成后再提交新问题。")
-
+    if response == "[Local Message]: 等待NewBing响应中 ...": response = "[Local Message]: NewBing响应异常，请刷新界面重试 ..."
-    history.extend([inputs, preprocess_newbing_out(response)])
+    history.extend([inputs, response])
+    logging.info(f'[raw_input] {inputs}')
+    logging.info(f'[response] {response}')
     yield from update_ui(chatbot=chatbot, history=history, msg="完成全部响应，请提交新问题。")
 

request_llm/requirements_jittorllms.txt

@@ -0,0 +1,4 @@
+jittor >= 1.3.7.9
+jtorch >= 0.1.3
+torch
+torchvision

request_llm/test_llms.py

@@ -0,0 +1,26 @@
+"""
+对各个llm模型进行单元测试
+"""
+def validate_path():
+    import os, sys
+    dir_name = os.path.dirname(__file__)
+    root_dir_assume = os.path.abspath(os.path.dirname(__file__) +  '/..')
+    os.chdir(root_dir_assume)
+    sys.path.append(root_dir_assume)
+    
+validate_path() # validate path so you can run from base directory
+
+from request_llm.bridge_jittorllms import predict_no_ui_long_connection
+
+llm_kwargs = {
+    'max_length': 512,
+    'top_p': 1,
+    'temperature': 1,
+}
+
+result = predict_no_ui_long_connection(inputs="你好", 
+                                       llm_kwargs=llm_kwargs,
+                                       history=[],
+                                       sys_prompt="")
+
+print('result')

theme.py

@@ -1,6 +1,6 @@
 import gradio as gr
 from toolbox import get_conf
-CODE_HIGHLIGHT, = get_conf('CODE_HIGHLIGHT')
+CODE_HIGHLIGHT, ADD_WAIFU = get_conf('CODE_HIGHLIGHT', 'ADD_WAIFU')
 # gradio可用颜色列表
 # gr.themes.utils.colors.slate (石板色)
 # gr.themes.utils.colors.gray (灰色)
@@ -27,6 +27,7 @@ CODE_HIGHLIGHT, = get_conf('CODE_HIGHLIGHT')
 
 
 def adjust_theme():
+
     try:
         color_er = gr.themes.utils.colors.fuchsia
         set_theme = gr.themes.Default(
@@ -80,6 +81,21 @@ def adjust_theme():
             button_cancel_text_color=color_er.c600,
             button_cancel_text_color_dark="white",
         )
+
+        # 添加一个萌萌的看板娘
+        if ADD_WAIFU:
+            js = """
+                <script src="file=docs/waifu_plugin/jquery.min.js"></script>
+                <script src="file=docs/waifu_plugin/jquery-ui.min.js"></script>
+                <script src="file=docs/waifu_plugin/autoload.js"></script>
+            """
+            gradio_original_template_fn = gr.routes.templates.TemplateResponse
+            def gradio_new_template_fn(*args, **kwargs):
+                res = gradio_original_template_fn(*args, **kwargs)
+                res.body = res.body.replace(b'</html>', f'{js}</html>'.encode("utf8"))
+                res.init_headers()
+                return res
+            gr.routes.templates.TemplateResponse = gradio_new_template_fn   # override gradio template
     except:
         set_theme = None
         print('gradio版本较旧, 不能自定义字体和颜色')
@@ -137,6 +153,16 @@ advanced_css = """
 
 /* 行内代码的背景设为淡灰色，设定圆角和间距. */
 .markdown-body code {
+    display: inline;
+    white-space: break-spaces;
+    border-radius: 6px;
+    margin: 0 2px 0 2px;
+    padding: .2em .4em .1em .4em;
+    background-color: rgba(13, 17, 23, 0.95);
+    color: #c9d1d9;
+}
+
+.dark .markdown-body code {
     display: inline;
     white-space: break-spaces;
     border-radius: 6px;
@@ -144,8 +170,19 @@ advanced_css = """
     padding: .2em .4em .1em .4em;
     background-color: rgba(175,184,193,0.2);
 }
+
 /* 设定代码块的样式，包括背景颜色、内、外边距、圆角。 */
 .markdown-body pre code {
+    display: block;
+    overflow: auto;
+    white-space: pre;
+    background-color: rgba(13, 17, 23, 0.95);
+    border-radius: 10px;
+    padding: 1em;
+    margin: 1em 2em 1em 0.5em;
+}
+
+.dark .markdown-body pre code {
     display: block;
     overflow: auto;
     white-space: pre;
@@ -160,72 +197,162 @@ advanced_css = """
 if CODE_HIGHLIGHT:
     advanced_css += """
 
-.hll { background-color: #ffffcc }
+.codehilite .hll { background-color: #6e7681 }
-.c { color: #3D7B7B; font-style: italic } /* Comment */
+.codehilite .c { color: #8b949e; font-style: italic } /* Comment */
-.err { border: 1px solid #FF0000 } /* Error */
+.codehilite .err { color: #f85149 } /* Error */
-.k { color: hsl(197, 94%, 51%); font-weight: bold } /* Keyword */
+.codehilite .esc { color: #c9d1d9 } /* Escape */
-.o { color: #666666 } /* Operator */
+.codehilite .g { color: #c9d1d9 } /* Generic */
-.ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */
+.codehilite .k { color: #ff7b72 } /* Keyword */
-.cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */
+.codehilite .l { color: #a5d6ff } /* Literal */
-.cp { color: #9C6500 } /* Comment.Preproc */
+.codehilite .n { color: #c9d1d9 } /* Name */
-.cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */
+.codehilite .o { color: #ff7b72; font-weight: bold } /* Operator */
-.c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */
+.codehilite .x { color: #c9d1d9 } /* Other */
-.cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
+.codehilite .p { color: #c9d1d9 } /* Punctuation */
-.gd { color: #A00000 } /* Generic.Deleted */
+.codehilite .ch { color: #8b949e; font-style: italic } /* Comment.Hashbang */
-.ge { font-style: italic } /* Generic.Emph */
+.codehilite .cm { color: #8b949e; font-style: italic } /* Comment.Multiline */
-.gr { color: #E40000 } /* Generic.Error */
+.codehilite .cp { color: #8b949e; font-weight: bold; font-style: italic } /* Comment.Preproc */
-.gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.codehilite .cpf { color: #8b949e; font-style: italic } /* Comment.PreprocFile */
-.gi { color: #008400 } /* Generic.Inserted */
+.codehilite .c1 { color: #8b949e; font-style: italic } /* Comment.Single */
-.go { color: #717171 } /* Generic.Output */
+.codehilite .cs { color: #8b949e; font-weight: bold; font-style: italic } /* Comment.Special */
-.gp { color: #000080; font-weight: bold } /* Generic.Prompt */
+.codehilite .gd { color: #ffa198; background-color: #490202 } /* Generic.Deleted */
-.gs { font-weight: bold } /* Generic.Strong */
+.codehilite .ge { color: #c9d1d9; font-style: italic } /* Generic.Emph */
-.gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.codehilite .gr { color: #ffa198 } /* Generic.Error */
-.gt { color: #a9dd00 } /* Generic.Traceback */
+.codehilite .gh { color: #79c0ff; font-weight: bold } /* Generic.Heading */
-.kc { color: #008000; font-weight: bold } /* Keyword.Constant */
+.codehilite .gi { color: #56d364; background-color: #0f5323 } /* Generic.Inserted */
-.kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
+.codehilite .go { color: #8b949e } /* Generic.Output */
-.kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
+.codehilite .gp { color: #8b949e } /* Generic.Prompt */
-.kp { color: #008000 } /* Keyword.Pseudo */
+.codehilite .gs { color: #c9d1d9; font-weight: bold } /* Generic.Strong */
-.kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
+.codehilite .gu { color: #79c0ff } /* Generic.Subheading */
-.kt { color: #B00040 } /* Keyword.Type */
+.codehilite .gt { color: #ff7b72 } /* Generic.Traceback */
-.m { color: #666666 } /* Literal.Number */
+.codehilite .g-Underline { color: #c9d1d9; text-decoration: underline } /* Generic.Underline */
-.s { color: #BA2121 } /* Literal.String */
+.codehilite .kc { color: #79c0ff } /* Keyword.Constant */
-.na { color: #687822 } /* Name.Attribute */
+.codehilite .kd { color: #ff7b72 } /* Keyword.Declaration */
-.nb { color: #e5f8c3 } /* Name.Builtin */
+.codehilite .kn { color: #ff7b72 } /* Keyword.Namespace */
-.nc { color: #ffad65; font-weight: bold } /* Name.Class */
+.codehilite .kp { color: #79c0ff } /* Keyword.Pseudo */
-.no { color: #880000 } /* Name.Constant */
+.codehilite .kr { color: #ff7b72 } /* Keyword.Reserved */
-.nd { color: #AA22FF } /* Name.Decorator */
+.codehilite .kt { color: #ff7b72 } /* Keyword.Type */
-.ni { color: #717171; font-weight: bold } /* Name.Entity */
+.codehilite .ld { color: #79c0ff } /* Literal.Date */
-.ne { color: #CB3F38; font-weight: bold } /* Name.Exception */
+.codehilite .m { color: #a5d6ff } /* Literal.Number */
-.nf { color: #f9f978 } /* Name.Function */
+.codehilite .s { color: #a5d6ff } /* Literal.String */
-.nl { color: #767600 } /* Name.Label */
+.codehilite .na { color: #c9d1d9 } /* Name.Attribute */
-.nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
+.codehilite .nb { color: #c9d1d9 } /* Name.Builtin */
-.nt { color: #008000; font-weight: bold } /* Name.Tag */
+.codehilite .nc { color: #f0883e; font-weight: bold } /* Name.Class */
-.nv { color: #19177C } /* Name.Variable */
+.codehilite .no { color: #79c0ff; font-weight: bold } /* Name.Constant */
-.ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
+.codehilite .nd { color: #d2a8ff; font-weight: bold } /* Name.Decorator */
-.w { color: #bbbbbb } /* Text.Whitespace */
+.codehilite .ni { color: #ffa657 } /* Name.Entity */
-.mb { color: #666666 } /* Literal.Number.Bin */
+.codehilite .ne { color: #f0883e; font-weight: bold } /* Name.Exception */
-.mf { color: #666666 } /* Literal.Number.Float */
+.codehilite .nf { color: #d2a8ff; font-weight: bold } /* Name.Function */
-.mh { color: #666666 } /* Literal.Number.Hex */
+.codehilite .nl { color: #79c0ff; font-weight: bold } /* Name.Label */
-.mi { color: #666666 } /* Literal.Number.Integer */
+.codehilite .nn { color: #ff7b72 } /* Name.Namespace */
-.mo { color: #666666 } /* Literal.Number.Oct */
+.codehilite .nx { color: #c9d1d9 } /* Name.Other */
-.sa { color: #BA2121 } /* Literal.String.Affix */
+.codehilite .py { color: #79c0ff } /* Name.Property */
-.sb { color: #BA2121 } /* Literal.String.Backtick */
+.codehilite .nt { color: #7ee787 } /* Name.Tag */
-.sc { color: #BA2121 } /* Literal.String.Char */
+.codehilite .nv { color: #79c0ff } /* Name.Variable */
-.dl { color: #BA2121 } /* Literal.String.Delimiter */
+.codehilite .ow { color: #ff7b72; font-weight: bold } /* Operator.Word */
-.sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
+.codehilite .pm { color: #c9d1d9 } /* Punctuation.Marker */
-.s2 { color: #2bf840 } /* Literal.String.Double */
+.codehilite .w { color: #6e7681 } /* Text.Whitespace */
-.se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */
+.codehilite .mb { color: #a5d6ff } /* Literal.Number.Bin */
-.sh { color: #BA2121 } /* Literal.String.Heredoc */
+.codehilite .mf { color: #a5d6ff } /* Literal.Number.Float */
-.si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */
+.codehilite .mh { color: #a5d6ff } /* Literal.Number.Hex */
-.sx { color: #008000 } /* Literal.String.Other */
+.codehilite .mi { color: #a5d6ff } /* Literal.Number.Integer */
-.sr { color: #A45A77 } /* Literal.String.Regex */
+.codehilite .mo { color: #a5d6ff } /* Literal.Number.Oct */
-.s1 { color: #BA2121 } /* Literal.String.Single */
+.codehilite .sa { color: #79c0ff } /* Literal.String.Affix */
-.ss { color: #19177C } /* Literal.String.Symbol */
+.codehilite .sb { color: #a5d6ff } /* Literal.String.Backtick */
-.bp { color: #008000 } /* Name.Builtin.Pseudo */
+.codehilite .sc { color: #a5d6ff } /* Literal.String.Char */
-.fm { color: #0000FF } /* Name.Function.Magic */
+.codehilite .dl { color: #79c0ff } /* Literal.String.Delimiter */
-.vc { color: #19177C } /* Name.Variable.Class */
+.codehilite .sd { color: #a5d6ff } /* Literal.String.Doc */
-.vg { color: #19177C } /* Name.Variable.Global */
+.codehilite .s2 { color: #a5d6ff } /* Literal.String.Double */
-.vi { color: #19177C } /* Name.Variable.Instance */
+.codehilite .se { color: #79c0ff } /* Literal.String.Escape */
-.vm { color: #19177C } /* Name.Variable.Magic */
+.codehilite .sh { color: #79c0ff } /* Literal.String.Heredoc */
-.il { color: #666666 } /* Literal.Number.Integer.Long */
+.codehilite .si { color: #a5d6ff } /* Literal.String.Interpol */
+.codehilite .sx { color: #a5d6ff } /* Literal.String.Other */
+.codehilite .sr { color: #79c0ff } /* Literal.String.Regex */
+.codehilite .s1 { color: #a5d6ff } /* Literal.String.Single */
+.codehilite .ss { color: #a5d6ff } /* Literal.String.Symbol */
+.codehilite .bp { color: #c9d1d9 } /* Name.Builtin.Pseudo */
+.codehilite .fm { color: #d2a8ff; font-weight: bold } /* Name.Function.Magic */
+.codehilite .vc { color: #79c0ff } /* Name.Variable.Class */
+.codehilite .vg { color: #79c0ff } /* Name.Variable.Global */
+.codehilite .vi { color: #79c0ff } /* Name.Variable.Instance */
+.codehilite .vm { color: #79c0ff } /* Name.Variable.Magic */
+.codehilite .il { color: #a5d6ff } /* Literal.Number.Integer.Long */
+
+.dark .codehilite .hll { background-color: #2C3B41 }
+.dark .codehilite .c { color: #79d618; font-style: italic } /* Comment */
+.dark .codehilite .err { color: #FF5370 } /* Error */
+.dark .codehilite .esc { color: #89DDFF } /* Escape */
+.dark .codehilite .g { color: #EEFFFF } /* Generic */
+.dark .codehilite .k { color: #BB80B3 } /* Keyword */
+.dark .codehilite .l { color: #C3E88D } /* Literal */
+.dark .codehilite .n { color: #EEFFFF } /* Name */
+.dark .codehilite .o { color: #89DDFF } /* Operator */
+.dark .codehilite .p { color: #89DDFF } /* Punctuation */
+.dark .codehilite .ch { color: #79d618; font-style: italic } /* Comment.Hashbang */
+.dark .codehilite .cm { color: #79d618; font-style: italic } /* Comment.Multiline */
+.dark .codehilite .cp { color: #79d618; font-style: italic } /* Comment.Preproc */
+.dark .codehilite .cpf { color: #79d618; font-style: italic } /* Comment.PreprocFile */
+.dark .codehilite .c1 { color: #79d618; font-style: italic } /* Comment.Single */
+.dark .codehilite .cs { color: #79d618; font-style: italic } /* Comment.Special */
+.dark .codehilite .gd { color: #FF5370 } /* Generic.Deleted */
+.dark .codehilite .ge { color: #89DDFF } /* Generic.Emph */
+.dark .codehilite .gr { color: #FF5370 } /* Generic.Error */
+.dark .codehilite .gh { color: #C3E88D } /* Generic.Heading */
+.dark .codehilite .gi { color: #C3E88D } /* Generic.Inserted */
+.dark .codehilite .go { color: #79d618 } /* Generic.Output */
+.dark .codehilite .gp { color: #FFCB6B } /* Generic.Prompt */
+.dark .codehilite .gs { color: #FF5370 } /* Generic.Strong */
+.dark .codehilite .gu { color: #89DDFF } /* Generic.Subheading */
+.dark .codehilite .gt { color: #FF5370 } /* Generic.Traceback */
+.dark .codehilite .kc { color: #89DDFF } /* Keyword.Constant */
+.dark .codehilite .kd { color: #BB80B3 } /* Keyword.Declaration */
+.dark .codehilite .kn { color: #89DDFF; font-style: italic } /* Keyword.Namespace */
+.dark .codehilite .kp { color: #89DDFF } /* Keyword.Pseudo */
+.dark .codehilite .kr { color: #BB80B3 } /* Keyword.Reserved */
+.dark .codehilite .kt { color: #BB80B3 } /* Keyword.Type */
+.dark .codehilite .ld { color: #C3E88D } /* Literal.Date */
+.dark .codehilite .m { color: #F78C6C } /* Literal.Number */
+.dark .codehilite .s { color: #C3E88D } /* Literal.String */
+.dark .codehilite .na { color: #BB80B3 } /* Name.Attribute */
+.dark .codehilite .nb { color: #82AAFF } /* Name.Builtin */
+.dark .codehilite .nc { color: #FFCB6B } /* Name.Class */
+.dark .codehilite .no { color: #EEFFFF } /* Name.Constant */
+.dark .codehilite .nd { color: #82AAFF } /* Name.Decorator */
+.dark .codehilite .ni { color: #89DDFF } /* Name.Entity */
+.dark .codehilite .ne { color: #FFCB6B } /* Name.Exception */
+.dark .codehilite .nf { color: #82AAFF } /* Name.Function */
+.dark .codehilite .nl { color: #82AAFF } /* Name.Label */
+.dark .codehilite .nn { color: #FFCB6B } /* Name.Namespace */
+.dark .codehilite .nx { color: #EEFFFF } /* Name.Other */
+.dark .codehilite .py { color: #FFCB6B } /* Name.Property */
+.dark .codehilite .nt { color: #FF5370 } /* Name.Tag */
+.dark .codehilite .nv { color: #89DDFF } /* Name.Variable */
+.dark .codehilite .ow { color: #89DDFF; font-style: italic } /* Operator.Word */
+.dark .codehilite .pm { color: #89DDFF } /* Punctuation.Marker */
+.dark .codehilite .w { color: #EEFFFF } /* Text.Whitespace */
+.dark .codehilite .mb { color: #F78C6C } /* Literal.Number.Bin */
+.dark .codehilite .mf { color: #F78C6C } /* Literal.Number.Float */
+.dark .codehilite .mh { color: #F78C6C } /* Literal.Number.Hex */
+.dark .codehilite .mi { color: #F78C6C } /* Literal.Number.Integer */
+.dark .codehilite .mo { color: #F78C6C } /* Literal.Number.Oct */
+.dark .codehilite .sa { color: #BB80B3 } /* Literal.String.Affix */
+.dark .codehilite .sb { color: #C3E88D } /* Literal.String.Backtick */
+.dark .codehilite .sc { color: #C3E88D } /* Literal.String.Char */
+.dark .codehilite .dl { color: #EEFFFF } /* Literal.String.Delimiter */
+.dark .codehilite .sd { color: #79d618; font-style: italic } /* Literal.String.Doc */
+.dark .codehilite .s2 { color: #C3E88D } /* Literal.String.Double */
+.dark .codehilite .se { color: #EEFFFF } /* Literal.String.Escape */
+.dark .codehilite .sh { color: #C3E88D } /* Literal.String.Heredoc */
+.dark .codehilite .si { color: #89DDFF } /* Literal.String.Interpol */
+.dark .codehilite .sx { color: #C3E88D } /* Literal.String.Other */
+.dark .codehilite .sr { color: #89DDFF } /* Literal.String.Regex */
+.dark .codehilite .s1 { color: #C3E88D } /* Literal.String.Single */
+.dark .codehilite .ss { color: #89DDFF } /* Literal.String.Symbol */
+.dark .codehilite .bp { color: #89DDFF } /* Name.Builtin.Pseudo */
+.dark .codehilite .fm { color: #82AAFF } /* Name.Function.Magic */
+.dark .codehilite .vc { color: #89DDFF } /* Name.Variable.Class */
+.dark .codehilite .vg { color: #89DDFF } /* Name.Variable.Global */
+.dark .codehilite .vi { color: #89DDFF } /* Name.Variable.Instance */
+.dark .codehilite .vm { color: #82AAFF } /* Name.Variable.Magic */
+.dark .codehilite .il { color: #F78C6C } /* Literal.Number.Integer.Long */
+
 """

toolbox.py

@@ -3,6 +3,7 @@ import importlib
 import traceback
 import inspect
 import re
+import os
 from latex2mathml.converter import convert as tex2mathml
 from functools import wraps, lru_cache
 
@@ -90,8 +91,9 @@ def CatchException(f):
             from toolbox import get_conf
             proxies, = get_conf('proxies')
             tb_str = '```\n' + trimmed_format_exc() + '```'
-            if chatbot is None or len(chatbot) == 0:
+            if len(chatbot) == 0:
-                chatbot = [["插件调度异常", "异常原因"]]
+                chatbot.clear()
+                chatbot.append(["插件调度异常", "异常原因"])
             chatbot[-1] = (chatbot[-1][0],
                            f"[Local Message] 实验性函数调用出错: \n\n{tb_str} \n\n当前代理可用性: \n\n{check_proxy(proxies)}")
             yield from update_ui(chatbot=chatbot, history=history, msg=f'异常 {e}') # 刷新界面
@@ -216,13 +218,17 @@ def text_divide_paragraph(text):
         text = "</br>".join(lines)
         return text
 
-
+@lru_cache(maxsize=128) # 使用 lru缓存 加快转换速度
 def markdown_convertion(txt):
     """
     将Markdown格式的文本转换为HTML格式。如果包含数学公式，则先将公式转换为HTML格式。
     """
     pre = '<div class="markdown-body">'
     suf = '</div>'
+    if txt.startswith(pre) and txt.endswith(suf):
+        # print('警告，输入了已经经过转化的字符串，二次转化可能出问题')
+        return txt # 已经被转化过，不需要再次转化
+    
     markdown_extension_configs = {
         'mdx_math': {
             'enable_dollar_delimiter': True,
@@ -266,8 +272,14 @@ def markdown_convertion(txt):
         content = content.replace('</script>\n</script>', '</script>')
         return content
 
+    def no_code(txt):
+        if '```' not in txt: 
+            return True
+        else:
+            if '```reference' in txt: return True    # newbing
+            else: return False
 
-    if ('$' in txt) and ('```' not in txt):  # 有$标识的公式符号，且没有代码段```的标识
+    if ('$' in txt) and no_code(txt):  # 有$标识的公式符号，且没有代码段```的标识
         # convert everything to html format
         split = markdown.markdown(text='---')
         convert_stage_1 = markdown.markdown(text=txt, extensions=['mdx_math', 'fenced_code', 'tables', 'sane_lists'], extension_configs=markdown_extension_configs)
@@ -454,8 +466,9 @@ def on_report_generated(files, chatbot):
     return report_files, chatbot
 
 def is_openai_api_key(key):
-    API_MATCH = re.match(r"sk-[a-zA-Z0-9]{48}$", key)
+    API_MATCH_ORIGINAL = re.match(r"sk-[a-zA-Z0-9]{48}$", key)
-    return bool(API_MATCH)
+    API_MATCH_AZURE = re.match(r"[a-zA-Z0-9]{32}$", key)
+    return bool(API_MATCH_ORIGINAL) or bool(API_MATCH_AZURE)
 
 def is_api2d_key(key):
     if key.startswith('fk') and len(key) == 41:
@@ -505,13 +518,72 @@ def select_api_key(keys, llm_model):
     api_key = random.choice(avail_key_list) # 随机负载均衡
     return api_key
 
+def read_env_variable(arg, default_value):
+    """
+    环境变量可以是 `GPT_ACADEMIC_CONFIG`(优先)，也可以直接是`CONFIG`
+    例如在windows cmd中，既可以写：
+        set USE_PROXY=True
+        set API_KEY=sk-j7caBpkRoxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+        set proxies={"http":"http://127.0.0.1:10085", "https":"http://127.0.0.1:10085",}
+        set AVAIL_LLM_MODELS=["gpt-3.5-turbo", "chatglm"]
+        set AUTHENTICATION=[("username", "password"), ("username2", "password2")]
+    也可以写：
+        set GPT_ACADEMIC_USE_PROXY=True
+        set GPT_ACADEMIC_API_KEY=sk-j7caBpkRoxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+        set GPT_ACADEMIC_proxies={"http":"http://127.0.0.1:10085", "https":"http://127.0.0.1:10085",}
+        set GPT_ACADEMIC_AVAIL_LLM_MODELS=["gpt-3.5-turbo", "chatglm"]
+        set GPT_ACADEMIC_AUTHENTICATION=[("username", "password"), ("username2", "password2")]
+    """
+    from colorful import print亮红, print亮绿
+    arg_with_prefix = "GPT_ACADEMIC_" + arg 
+    if arg_with_prefix in os.environ: 
+        env_arg = os.environ[arg_with_prefix]
+    elif arg in os.environ: 
+        env_arg = os.environ[arg]
+    else:
+        raise KeyError
+    print(f"[ENV_VAR] 尝试加载{arg}，默认值：{default_value} --> 修正值：{env_arg}")
+    try:
+        if isinstance(default_value, bool):
+            r = bool(env_arg)
+        elif isinstance(default_value, int):
+            r = int(env_arg)
+        elif isinstance(default_value, float):
+            r = float(env_arg)
+        elif isinstance(default_value, str):
+            r = env_arg.strip()
+        elif isinstance(default_value, dict):
+            r = eval(env_arg)
+        elif isinstance(default_value, list):
+            r = eval(env_arg)
+        elif default_value is None:
+            assert arg == "proxies"
+            r = eval(env_arg)
+        else:
+            print亮红(f"[ENV_VAR] 环境变量{arg}不支持通过环境变量设置! ")
+            raise KeyError
+    except:
+        print亮红(f"[ENV_VAR] 环境变量{arg}加载失败! ")
+        raise KeyError(f"[ENV_VAR] 环境变量{arg}加载失败! ")
+
+    print亮绿(f"[ENV_VAR] 成功读取环境变量{arg}")
+    return r
+
 @lru_cache(maxsize=128)
 def read_single_conf_with_lru_cache(arg):
     from colorful import print亮红, print亮绿, print亮蓝
     try:
-        r = getattr(importlib.import_module('config_private'), arg)
+        # 优先级1. 获取环境变量作为配置
+        default_ref = getattr(importlib.import_module('config'), arg)   # 读取默认值作为数据类型转换的参考
+        r = read_env_variable(arg, default_ref) 
     except:
-        r = getattr(importlib.import_module('config'), arg)
+        try:
+            # 优先级2. 获取config_private中的配置
+            r = getattr(importlib.import_module('config_private'), arg)
+        except:
+            # 优先级3. 获取config中的配置
+            r = getattr(importlib.import_module('config'), arg)
+
     # 在读取API_KEY时，检查一下是不是忘了改config
     if arg == 'API_KEY':
         print亮蓝(f"[API_KEY] 本项目现已支持OpenAI和API2D的api-key。也支持同时填写多个api-key，如API_KEY=\"openai-key1,openai-key2,api2d-key3\"")

version

@@ -1,5 +1,5 @@
 {
-  "version": 3.3,
+  "version": 3.33,
   "show_feature": true,
-  "new_feature": "支持NewBing !! <-> 保存对话功能 <-> 解读任意语言代码+同时询问任意的LLM组合 <-> 添加联网（Google）回答问题插件 <-> 修复ChatGLM上下文BUG <-> 添加支持清华ChatGLM和GPT-4 <-> 改进架构，支持与多个LLM模型同时对话 <-> 添加支持API2D（国内，可支持gpt4）"
+  "new_feature": "提供docker-compose方案兼容LLAMA盘古RWKV等模型的后端 <-> 新增Live2D WAIFU装饰 <-> 完善对话历史的保存/载入/删除 <-> ChatGLM加线程锁提高并发稳定性 <-> 支持NewBing <-> Markdown翻译功能支持直接输入Readme文件网址 <-> 保存对话功能 <-> 解读任意语言代码+同时询问任意的LLM组合 <-> 添加联网（Google）回答问题插件 <-> 修复ChatGLM上下文BUG <-> 添加支持清华ChatGLM"
 }