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from functools import wraps
from predict import predict_no_ui
fast_debug = False
def report_execption(chatbot, history, a, b):
chatbot.append((a, b))
history.append(a); history.append(b)
# 捕获不能预料的异常
def CatchException(f):
@wraps(f)
def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
try:
yield from f(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT)
except Exception as e:
import traceback
tb_str = traceback.format_exc()
chatbot[-1] = (chatbot[-1][0], f"[Local Message] something error occured: \n {tb_str}")
yield chatbot, history, f'异常 {e}'
return decorated
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
@CatchException
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)
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