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binary-hus
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25
README.md
25
README.md
@@ -1,20 +1,8 @@
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---
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title: GPT-Academic
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emoji: 😻
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colorFrom: blue
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colorTo: blue
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sdk: gradio
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sdk_version: 3.32.0
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app_file: app.py
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pinned: false
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---
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# ChatGPT 学术优化
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> **Note**
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>
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> 2023.11.12: 某些依赖包尚不兼容python 3.12,推荐python 3.11。
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>
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> 2023.12.26: 安装依赖时,请选择`requirements.txt`中**指定的版本**。 安装命令:`pip install -r requirements.txt`。本项目完全开源免费,您可通过订阅[在线服务](https://github.com/binary-husky/gpt_academic/wiki/online)的方式鼓励本项目的发展。
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> [!IMPORTANT]
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> 2024.1.18: 更新3.70版本,支持Mermaid绘图库(让大模型绘制脑图)
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> 2024.1.17: 恭迎GLM4,全力支持Qwen、GLM、DeepseekCoder等国内中文大语言基座模型!
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> 2024.1.17: 某些依赖包尚不兼容python 3.12,推荐python 3.11。
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> 2024.1.17: 安装依赖时,请选择`requirements.txt`中**指定的版本**。 安装命令:`pip install -r requirements.txt`。本项目完全开源免费,您可通过订阅[在线服务](https://github.com/binary-husky/gpt_academic/wiki/online)的方式鼓励本项目的发展。
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<br>
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@@ -265,8 +253,7 @@ P.S. 如果需要依赖Latex的插件功能,请见Wiki。另外,您也可以
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# Advanced Usage
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### I:自定义新的便捷按钮(学术快捷键)
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任意文本编辑器打开`core_functional.py`,添加如下条目,然后重启程序。(如果按钮已存在,那么可以直接修改(前缀、后缀都已支持热修改),无需重启程序即可生效。)
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例如
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现在已可以通过UI中的`界面外观`菜单中的`自定义菜单`添加新的便捷按钮。如果需要在代码中定义,请使用任意文本编辑器打开`core_functional.py`,添加如下条目即可:
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```python
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"超级英译中": {
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13
config.py
13
config.py
@@ -11,10 +11,6 @@
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API_KEY = "此处填API密钥" # 可同时填写多个API-KEY,用英文逗号分割,例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey3,azure-apikey4"
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# [step 1]>> API_KEY = "sk-123456789xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx123456789"。极少数情况下,还需要填写组织(格式如org-123456789abcdefghijklmno的),请向下翻,找 API_ORG 设置项
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API_KEY = "此处填API密钥" # 可同时填写多个API-KEY,用英文逗号分割,例如API_KEY = "sk-openaikey1,sk-openaikey2,fkxxxx-api2dkey3,azure-apikey4"
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# [step 2]>> 改为True应用代理,如果直接在海外服务器部署,此处不修改;如果使用本地或无地域限制的大模型时,此处也不需要修改
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USE_PROXY = False
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if USE_PROXY:
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@@ -49,7 +45,7 @@ DEFAULT_WORKER_NUM = 3
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# 色彩主题, 可选 ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast"]
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# 更多主题, 请查阅Gradio主题商店: https://huggingface.co/spaces/gradio/theme-gallery 可选 ["Gstaff/Xkcd", "NoCrypt/Miku", ...]
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THEME = "Chuanhu-Small-and-Beautiful"
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THEME = "Default"
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AVAIL_THEMES = ["Default", "Chuanhu-Small-and-Beautiful", "High-Contrast", "Gstaff/Xkcd", "NoCrypt/Miku"]
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@@ -70,7 +66,7 @@ LAYOUT = "LEFT-RIGHT" # "LEFT-RIGHT"(左右布局) # "TOP-DOWN"(上下
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# 暗色模式 / 亮色模式
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DARK_MODE = False
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DARK_MODE = True
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# 发送请求到OpenAI后,等待多久判定为超时
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@@ -84,9 +80,6 @@ WEB_PORT = -1
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# 如果OpenAI不响应(网络卡顿、代理失败、KEY失效),重试的次数限制
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MAX_RETRY = 2
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# OpenAI模型选择是(gpt4现在只对申请成功的人开放)
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LLM_MODEL = "gpt-3.5-turbo" # 可选 "chatglm"
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AVAIL_LLM_MODELS = ["gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "api2d-gpt-3.5-turbo", "spark", "azure-gpt-3.5"]
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# 插件分类默认选项
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DEFAULT_FN_GROUPS = ['对话', '编程', '学术', '智能体']
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@@ -143,7 +136,7 @@ AUTO_CLEAR_TXT = False
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# 加一个live2d装饰
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ADD_WAIFU = True
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ADD_WAIFU = False
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# 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)
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@@ -1,28 +0,0 @@
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# encoding: utf-8
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# @Time : 2023/4/19
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# @Author : Spike
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# @Descr :
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from toolbox import update_ui
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from toolbox import CatchException, report_execption, write_results_to_file
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from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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@CatchException
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def 猜你想问(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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if txt:
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show_say = txt
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prompt = txt+'\n回答完问题后,再列出用户可能提出的三个问题。'
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else:
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prompt = history[-1]+"\n分析上述回答,再列出用户可能提出的三个问题。"
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show_say = '分析上述回答,再列出用户可能提出的三个问题。'
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gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
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inputs=prompt,
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inputs_show_user=show_say,
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llm_kwargs=llm_kwargs,
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chatbot=chatbot,
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history=history,
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sys_prompt=system_prompt
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)
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chatbot[-1] = (show_say, gpt_say)
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history.extend([show_say, gpt_say])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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@@ -10,9 +10,6 @@ ENV PATH "$PATH:/usr/local/texlive/2024/bin/x86_64-linux"
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ENV PATH "$PATH:/usr/local/texlive/2025/bin/x86_64-linux"
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ENV PATH "$PATH:/usr/local/texlive/2026/bin/x86_64-linux"
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# 删除文档文件以节约空间
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RUN rm -rf /usr/local/texlive/2023/texmf-dist/doc
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# 指定路径
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WORKDIR /gpt
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@@ -14,8 +14,6 @@ help_menu_description = \
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</br></br>如何临时更换API_KEY: 在输入区输入临时API_KEY后提交(网页刷新后失效)"""
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def main():
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import subprocess, sys
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subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'https://public.agent-matrix.com/publish/gradio-3.32.8-py3-none-any.whl'])
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import gradio as gr
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if gr.__version__ not in ['3.32.8']:
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raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
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@@ -78,7 +76,6 @@ def main():
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predefined_btns = {}
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with gr.Blocks(title="GPT 学术优化", theme=set_theme, analytics_enabled=False, css=advanced_css) as demo:
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gr.HTML(title_html)
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gr.HTML('''<center><a href="https://huggingface.co/spaces/qingxu98/gpt-academic?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>请您打开此页面后务必点击上方的“复制空间”(Duplicate Space)按钮!<font color="#FF00FF">使用时,先在输入框填入API-KEY然后回车。</font><br/>切忌在“复制空间”(Duplicate Space)之前填入API_KEY或进行提问,否则您的API_KEY将极可能被空间所有者攫取!<br/>支持任意数量的OpenAI的密钥和API2D的密钥共存,例如输入"OpenAI密钥1,API2D密钥2",然后提交,即可同时使用两种模型接口。</center>''')
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secret_css, dark_mode, py_pickle_cookie = gr.Textbox(visible=False), gr.Textbox(DARK_MODE, visible=False), gr.Textbox(visible=False)
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cookies = gr.State(load_chat_cookies())
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with gr_L1():
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@@ -89,7 +86,7 @@ def main():
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with gr_L2(scale=1, elem_id="gpt-panel"):
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with gr.Accordion("输入区", open=True, elem_id="input-panel") as area_input_primary:
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with gr.Row():
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txt = gr.Textbox(show_label=False, lines=2, placeholder="输入问题或API密钥,输入多个密钥时,用英文逗号间隔。支持多个OpenAI密钥共存。").style(container=False)
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txt = gr.Textbox(show_label=False, placeholder="Input question here.", elem_id='user_input_main').style(container=False)
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with gr.Row():
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submitBtn = gr.Button("提交", elem_id="elem_submit", variant="primary")
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with gr.Row():
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@@ -396,8 +393,16 @@ def main():
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threading.Thread(target=warm_up_mods, name="warm-up", daemon=True).start() # 预热tiktoken模块
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run_delayed_tasks()
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demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", share=False, favicon_path="docs/logo.png", blocked_paths=["config.py","config_private.py","docker-compose.yml","Dockerfile"])
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demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
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quiet=True,
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server_name="0.0.0.0",
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ssl_keyfile=None if SSL_KEYFILE == "" else SSL_KEYFILE,
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ssl_certfile=None if SSL_CERTFILE == "" else SSL_CERTFILE,
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ssl_verify=False,
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server_port=PORT,
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favicon_path=os.path.join(os.path.dirname(__file__), "docs/logo.png"),
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auth=AUTHENTICATION if len(AUTHENTICATION) != 0 else None,
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blocked_paths=["config.py","config_private.py","docker-compose.yml","Dockerfile",f"{PATH_LOGGING}/admin"])
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# 如果需要在二级路径下运行
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# CUSTOM_PATH = get_conf('CUSTOM_PATH')
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@@ -116,7 +116,16 @@ model_info = {
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"tokenizer": tokenizer_gpt35,
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"token_cnt": get_token_num_gpt35,
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},
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"gpt-3.5-turbo-0125": {
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"fn_with_ui": chatgpt_ui,
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"fn_without_ui": chatgpt_noui,
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"endpoint": openai_endpoint,
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"max_token": 4096,
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"tokenizer": tokenizer_gpt35,
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"token_cnt": get_token_num_gpt35,
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},
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"gpt-3.5-turbo-16k-0613": {
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"fn_with_ui": chatgpt_ui,
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"fn_without_ui": chatgpt_noui,
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@@ -160,3 +160,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
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chatbot[-1] = (chatbot[-1][0], "[Local Message] Reduce the length. 本次输入过长, 或历史数据过长. 历史缓存数据已部分释放, 您可以请再次尝试. (若再次失败则更可能是因为输入过长.)")
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yield from update_ui(chatbot=chatbot, history=history, msg="异常") # 刷新界面
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return
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except RuntimeError as e:
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tb_str = '```\n' + trimmed_format_exc() + '```'
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chatbot[-1] = (chatbot[-1][0], tb_str)
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yield from update_ui(chatbot=chatbot, history=history, msg="异常") # 刷新界面
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return
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