镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
增加读latex文章的功能,添加测试样例
这个提交包含在:
98
crazy_functions/读文章写摘要.py
普通文件
98
crazy_functions/读文章写摘要.py
普通文件
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from functools import wraps
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from predict import predict_no_ui
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fast_debug = False
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def report_execption(chatbot, history, a, b):
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chatbot.append((a, b))
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history.append(a); history.append(b)
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# 捕获不能预料的异常
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def CatchException(f):
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@wraps(f)
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def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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try:
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yield from f(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT)
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except Exception as e:
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import traceback
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tb_str = traceback.format_exc()
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chatbot[-1] = (chatbot[-1][0], f"[Local Message] something error occured: \n {tb_str}")
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yield chatbot, history, f'异常 {e}'
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return decorated
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def 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
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import time, glob, os
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print('begin analysis on:', file_manifest)
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for index, fp in enumerate(file_manifest):
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with open(fp, 'r', encoding='utf-8') as f:
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file_content = f.read()
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前言 = "接下来请你逐文件分析下面的论文文件,概括其内容" if index==0 else ""
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i_say = 前言 + f'请对下面的文章片段用中文做一个概述,文件名是{os.path.relpath(fp, project_folder)},文章内容是 ```{file_content}```'
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i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的文章片段做一个概述: {os.path.abspath(fp)}'
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chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
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print('[1] yield chatbot, history')
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yield chatbot, history, '正常'
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if not fast_debug:
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msg = '正常'
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# ** gpt request **
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while True:
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try:
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gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
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break
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except ConnectionAbortedError as e:
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i_say = i_say[:len(i_say)//2]
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msg = '文件太长,进行了拦腰截断'
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print('[2] end gpt req')
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chatbot[-1] = (i_say_show_user, gpt_say)
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history.append(i_say_show_user); history.append(gpt_say)
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print('[3] yield chatbot, history')
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yield chatbot, history, msg
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print('[4] next')
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if not fast_debug: time.sleep(2)
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all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)])
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i_say = f'根据以上你自己的分析,对全文进行概括,用学术性语言写一段中文摘要,然后再写一段英文摘要(包括{all_file})。'
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chatbot.append((i_say, "[Local Message] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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msg = '正常'
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# ** gpt request **
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while True:
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try:
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gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
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break
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except ConnectionAbortedError as e:
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history = [his[len(his)//2:] for his in history]
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msg = '对话历史太长,每段历史拦腰截断'
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chatbot[-1] = (i_say, gpt_say)
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history.append(i_say); history.append(gpt_say)
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yield chatbot, history, msg
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@CatchException
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def 读文章写摘要(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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history = [] # 清空历史,以免输入溢出
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import glob, os
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if os.path.exists(txt):
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project_folder = txt
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else:
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if txt == "": txt = '空空如也的输入栏'
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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}")
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yield chatbot, history, '正常'
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return
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file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] # + \
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# [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \
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# [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)]
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.tex文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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