镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-05 22:16:49 +00:00
4a79aa6a93
* typo: Fix typos and rename functions across multiple files This commit addresses several minor issues: - Corrected spelling of function names (e.g., `update_ui_lastest_msg` to `update_ui_latest_msg`) - Fixed typos in comments and variable names - Corrected capitalization in some strings (e.g., "ArXiv" instead of "Arixv") - Renamed some variables for consistency - Corrected some console-related parameter names (e.g., `console_slience` to `console_silence`) The changes span multiple files across the project, including request LLM bridges, crazy functions, and utility modules. * fix: f-string expression part cannot include a backslash (#2139) * raise error when the uploaded tar contain hard/soft link (#2136) * minor bug fix * fine tune reasoning css * upgrade internet gpt plugin * Update README.md * fix GHSA-gqp5-wm97-qxcv * typo fix * update readme --------- Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> Co-authored-by: binary-husky <qingxu.fu@outlook.com>
72 行
2.8 KiB
Python
72 行
2.8 KiB
Python
import time
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import os
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from toolbox import update_ui, get_conf, update_ui_latest_msg, log_chat
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from toolbox import check_packages, report_exception, have_any_recent_upload_image_files
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from toolbox import ChatBotWithCookies
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# model_name = 'Taichu-2.0'
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# taichu_default_model = 'taichu_llm'
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def validate_key():
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TAICHU_API_KEY = get_conf("TAICHU_API_KEY")
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if TAICHU_API_KEY == '': return False
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return True
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def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[], sys_prompt:str="",
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observe_window:list=[], console_silence:bool=False):
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"""
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⭐多线程方法
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函数的说明请见 request_llms/bridge_all.py
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"""
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watch_dog_patience = 5
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response = ""
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# if llm_kwargs["llm_model"] == "taichu":
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# llm_kwargs["llm_model"] = "taichu"
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if validate_key() is False:
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raise RuntimeError('请配置 TAICHU_API_KEY')
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# 开始接收回复
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from .com_taichu import TaichuChatInit
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zhipu_bro_init = TaichuChatInit()
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for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, sys_prompt):
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if len(observe_window) >= 1:
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observe_window[0] = response
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if len(observe_window) >= 2:
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if (time.time() - observe_window[1]) > watch_dog_patience:
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raise RuntimeError("程序终止。")
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return response
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def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot:ChatBotWithCookies,
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history:list=[], system_prompt:str='', stream:bool=True, additional_fn:str=None):
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"""
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⭐单线程方法
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函数的说明请见 request_llms/bridge_all.py
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"""
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chatbot.append([inputs, ""])
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yield from update_ui(chatbot=chatbot, history=history)
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if validate_key() is False:
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yield from update_ui_latest_msg(lastmsg="[Local Message] 请配置ZHIPUAI_API_KEY", chatbot=chatbot, history=history, delay=0)
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return
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if additional_fn is not None:
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from core_functional import handle_core_functionality
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inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
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chatbot[-1] = [inputs, ""]
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yield from update_ui(chatbot=chatbot, history=history)
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# if llm_kwargs["llm_model"] == "taichu":
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# llm_kwargs["llm_model"] = taichu_default_model
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# 开始接收回复
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from .com_taichu import TaichuChatInit
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zhipu_bro_init = TaichuChatInit()
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for chunk, response in zhipu_bro_init.generate_chat(inputs, llm_kwargs, history, system_prompt):
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chatbot[-1] = [inputs, response]
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yield from update_ui(chatbot=chatbot, history=history)
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history.extend([inputs, response])
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log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response)
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yield from update_ui(chatbot=chatbot, history=history) |