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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) | |