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Runtime error
| from predict import predict_no_ui | |
| from toolbox import CatchException, report_execption, write_results_to_file | |
| fast_debug = False | |
| def 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt): | |
| import time, glob, os | |
| print('begin analysis on:', file_manifest) | |
| for index, fp in enumerate(file_manifest): | |
| with open(fp, 'r', encoding='utf-8') as f: | |
| file_content = f.read() | |
| 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 "" | |
| 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}```' | |
| 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)}' | |
| chatbot.append((i_say_show_user, "[Local Message] waiting gpt response.")) | |
| print('[1] yield chatbot, history') | |
| yield chatbot, history, '正常' | |
| if not fast_debug: | |
| msg = '正常' | |
| # ** gpt request ** | |
| while True: | |
| try: | |
| gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) | |
| break | |
| except ConnectionAbortedError as e: | |
| i_say = i_say[:len(i_say)//2] | |
| msg = '文件太长，进行了拦腰截断' | |
| print('[2] end gpt req') | |
| chatbot[-1] = (i_say_show_user, gpt_say) | |
| history.append(i_say_show_user); history.append(gpt_say) | |
| print('[3] yield chatbot, history') | |
| yield chatbot, history, msg | |
| print('[4] next') | |
| if not fast_debug: time.sleep(2) | |
| all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)]) | |
| 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}）。' | |
| chatbot.append((i_say, "[Local Message] waiting gpt response.")) | |
| yield chatbot, history, '正常' | |
| if not fast_debug: | |
| msg = '正常' | |
| # ** gpt request ** | |
| while True: | |
| try: | |
| gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history) | |
| break | |
| except ConnectionAbortedError as e: | |
| history = [his[len(his)//2:] for his in history] | |
| msg = '对话历史太长，每段历史拦腰截断' | |
| chatbot[-1] = (i_say, gpt_say) | |
| history.append(i_say); history.append(gpt_say) | |
| yield chatbot, history, msg | |
| res = write_results_to_file(history) | |
| chatbot.append(("完成了吗？", res)) | |
| yield chatbot, history, msg | |
| def 读文章写摘要(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): | |
| history = [] # 清空历史，以免输入溢出 | |
| import glob, os | |
| if os.path.exists(txt): | |
| project_folder = txt | |
| 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 chatbot, history, '正常' | |
| return | |
| file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.tex', recursive=True)] # + \ | |
| # [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \ | |
| # [f for f in glob.glob(f'{project_folder}/**/*.c', 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.tex文件: {txt}") | |
| yield chatbot, history, '正常' | |
| return | |
| yield from 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt) | |