镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 06:56:48 +00:00
dd66ca26f7
* update welcome svg * fix loading chatglm3 (#1937) * update welcome svg * update welcome message * fix loading chatglm3 --------- Co-authored-by: binary-husky <qingxu.fu@outlook.com> Co-authored-by: binary-husky <96192199+binary-husky@users.noreply.github.com> * begin rag project with llama index * rag version one * rag beta release * add social worker (proto) * fix llamaindex version --------- Co-authored-by: moetayuko <loli@yuko.moe>
66 行
2.6 KiB
Python
66 行
2.6 KiB
Python
from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg
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from crazy_functions.crazy_utils import input_clipping
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from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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import pickle, os
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SOCIAL_NETWOK_WORKER_REGISTER = {}
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class SocialNetwork():
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def __init__(self):
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self.people = []
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class SocialNetworkWorker():
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def __init__(self, user_name, llm_kwargs, auto_load_checkpoint=True, checkpoint_dir=None) -> None:
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self.user_name = user_name
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self.checkpoint_dir = checkpoint_dir
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if auto_load_checkpoint:
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self.social_network = self.load_from_checkpoint(checkpoint_dir)
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else:
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self.social_network = SocialNetwork()
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def does_checkpoint_exist(self, checkpoint_dir=None):
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import os, glob
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if checkpoint_dir is None: checkpoint_dir = self.checkpoint_dir
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if not os.path.exists(checkpoint_dir): return False
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if len(glob.glob(os.path.join(checkpoint_dir, "social_network.pkl"))) == 0: return False
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return True
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def save_to_checkpoint(self, checkpoint_dir=None):
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if checkpoint_dir is None: checkpoint_dir = self.checkpoint_dir
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with open(os.path.join(checkpoint_dir, 'social_network.pkl'), "wb+") as f:
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pickle.dump(self.social_network, f)
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return
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def load_from_checkpoint(self, checkpoint_dir=None):
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if checkpoint_dir is None: checkpoint_dir = self.checkpoint_dir
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if self.does_checkpoint_exist(checkpoint_dir=checkpoint_dir):
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with open(os.path.join(checkpoint_dir, 'social_network.pkl'), "rb") as f:
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social_network = pickle.load(f)
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return social_network
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else:
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return SocialNetwork()
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@CatchException
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def I人助手(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request, num_day=5):
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# 1. we retrieve worker from global context
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user_name = chatbot.get_user()
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checkpoint_dir=get_log_folder(user_name, plugin_name='experimental_rag')
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if user_name in SOCIAL_NETWOK_WORKER_REGISTER:
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social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name]
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else:
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social_network_worker = SOCIAL_NETWOK_WORKER_REGISTER[user_name] = SocialNetworkWorker(
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user_name,
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llm_kwargs,
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checkpoint_dir=checkpoint_dir,
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auto_load_checkpoint=True
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)
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# 2. save
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social_network_worker.social_network.people.append("张三")
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social_network_worker.save_to_checkpoint(checkpoint_dir)
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chatbot.append(["good", "work"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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