镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
Merge remote-tracking branch 'origin/test-3-29'
这个提交包含在:
40
toolbox.py
40
toolbox.py
@@ -2,7 +2,7 @@ import markdown, mdtex2html, threading
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from show_math import convert as convert_math
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from functools import wraps
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def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]):
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def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], sys_prompt=''):
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"""
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调用简单的predict_no_ui接口,但是依然保留了些许界面心跳功能,当对话太长时,会自动采用二分法截断
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"""
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@@ -17,7 +17,7 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
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def mt(i_say, history):
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while True:
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try:
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mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
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mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt)
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break
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except ConnectionAbortedError as e:
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if len(history) > 0:
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@@ -27,7 +27,8 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
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i_say = i_say[:len(i_say)//2]
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mutable[1] = 'Warning! Input file is too long, cut into half. '
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except TimeoutError as e:
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mutable[0] = '[Local Message] Failed with timeout'
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mutable[0] = '[Local Message] Failed with timeout.'
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raise TimeoutError
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# 创建新线程发出http请求
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thread_name = threading.Thread(target=mt, args=(i_say, history)); thread_name.start()
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# 原来的线程则负责持续更新UI,实现一个超时倒计时,并等待新线程的任务完成
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@@ -39,6 +40,7 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
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time.sleep(1)
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# 把gpt的输出从mutable中取出来
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gpt_say = mutable[0]
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if gpt_say=='[Local Message] Failed with timeout.': raise TimeoutError
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return gpt_say
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def write_results_to_file(history, file_name=None):
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@@ -184,4 +186,34 @@ def find_recent_files(directory):
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if created_time >= one_minute_ago:
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recent_files.append(file_path)
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return recent_files
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return recent_files
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def on_file_uploaded(files, chatbot, txt):
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if len(files) == 0: return chatbot, txt
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import shutil, os, time, glob
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from toolbox import extract_archive
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try: shutil.rmtree('./private_upload/')
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except: pass
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time_tag = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
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os.makedirs(f'private_upload/{time_tag}', exist_ok=True)
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for file in files:
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file_origin_name = os.path.basename(file.orig_name)
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shutil.copy(file.name, f'private_upload/{time_tag}/{file_origin_name}')
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extract_archive(f'private_upload/{time_tag}/{file_origin_name}',
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dest_dir=f'private_upload/{time_tag}/{file_origin_name}.extract')
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moved_files = [fp for fp in glob.glob('private_upload/**/*', recursive=True)]
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txt = f'private_upload/{time_tag}'
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moved_files_str = '\t\n\n'.join(moved_files)
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chatbot.append(['我上传了文件,请查收',
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f'[Local Message] 收到以下文件: \n\n{moved_files_str}\n\n调用路径参数已自动修正到: \n\n{txt}\n\n现在您可以直接选择任意实现性功能'])
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return chatbot, txt
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def on_report_generated(files, chatbot):
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from toolbox import find_recent_files
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report_files = find_recent_files('gpt_log')
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if len(report_files) == 0: return report_files, chatbot
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# files.extend(report_files)
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chatbot.append(['汇总报告如何远程获取?', '汇总报告已经添加到右侧文件上传区,请查收。'])
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return report_files, chatbot
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