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import os | |
os.system('pip install openai') | |
os.system('pip install python-docx') | |
import openai | |
from openai.error import RateLimitError | |
openai.api_key = "" | |
prompt = """ | |
我需要你帮助我完成会议记录的总结和梳理。我会给你提供一长段会议记录,其中包含多个参会者的对话记录。你需要完成如下的任务: | |
1. 提取出会议主要讨论的几个主题或者要点。 | |
2. 针对会议的每一个主题,请你找到所有相关的会议记录,并将它们梳理总结,为我生成有条理的摘要。 | |
在输出时,请注意以下几点: | |
1. 输出内容中避免口语化内容 | |
2. 输出格式是层级列表 | |
""" | |
def get_chatgpt_reply(query, context=[]): | |
context += [query] | |
try: | |
completion = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", | |
messages=[{"role": "user", "content": '\n\n'.join(context)[:4096]}] | |
) | |
response = completion.choices[0].message["content"] | |
except RateLimitError: | |
response = "服务器请求次数过多,请稍后重新尝试" | |
context += [response] | |
responses = [(u,b) for u,b in zip(context[::2], context[1::2])] | |
return responses, context | |
def get_chatgpt_summary(content): | |
try: | |
completion = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", | |
messages=[{"role": "system", "content": prompt}, | |
{"role": "user", "content": content}], | |
temperature=0.5 | |
) | |
response = completion.choices[0].message["content"] | |
except RateLimitError: | |
response = "服务器请求次数过多,请稍后重新尝试" | |
return response | |
import gradio as gr | |
from docx import Document | |
def upload_file(file): | |
doc = Document(file.name) | |
content = "" | |
for para in doc.paragraphs: | |
content += para.text | |
content += '\n' | |
return content | |
def download_file(content): | |
doc = Document() | |
doc.add_paragraph(content) | |
doc.save("会议纪要.docx") | |
return None | |
def set_api_key(api_key): | |
openai.api_key = api_key | |
return None | |
with gr.Blocks(theme=gr.themes.Default(text_size='lg', radius_size='sm')) as demo: | |
with gr.Column(): | |
# 产品介绍 | |
title = gr.Markdown("# <center>ChatMeeting</center>") | |
desc = gr.Markdown("<center>让AI帮你整理会议纪要\n\n支持.docx文件</center>") | |
with gr.Column(): | |
# 文件上传 | |
file_input = gr.File(file_types=[".docx"], label="原始文稿", interactive=True) | |
upload_btn = gr.Button(value="上传") | |
with gr.Row(): | |
with gr.Column(): | |
# api key | |
api_input = gr.Textbox(label="API Key", placeholder="请输入API Key", type="password") | |
api_btn = gr.Button(value="设置") | |
api_btn.click(fn=set_api_key, inputs=api_input, outputs=None) | |
# 文字展示 | |
with gr.Tab("原文"): | |
# 原文 | |
content_box = gr.Textbox(label="文稿内容") | |
download_btn = gr.Button(value="下载") | |
with gr.Tab("总结"): | |
# 总结 | |
summary_box = gr.Textbox(label="总结内容") | |
download_btn = gr.Button(value="下载") | |
with gr.Column(): | |
# 对话交互 | |
chatbot = gr.Chatbot(label="对话内容").style(height=400) | |
state = gr.State([]) | |
txt = gr.Textbox(label="用户", placeholder="请输入内容") | |
with gr.Row(): | |
summary = gr.Button(value="一键梳理") | |
clear = gr.Button(value="清空") | |
summary.click(fn=get_chatgpt_summary, inputs=content_box, outputs=summary_box) | |
txt.submit(get_chatgpt_reply, [txt, state], [chatbot, state]) | |
clear.click(lambda: None, None, chatbot, queue=False) | |
upload_btn.click(fn=upload_file, inputs=file_input, outputs=content_box) | |
download_btn.click(fn=download_file, inputs=content_box, outputs=None) | |
demo.launch() |