镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 22:46:48 +00:00
Rebase v3.0
这个提交包含在:
@@ -61,7 +61,7 @@ def request_gpt_model_in_new_thread_with_ui_alive(
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"""
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import time
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from concurrent.futures import ThreadPoolExecutor
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from request_llm.bridge_chatgpt import predict_no_ui_long_connection
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from request_llm.bridge_all import predict_no_ui_long_connection
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# 用户反馈
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chatbot.append([inputs_show_user, ""])
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yield from update_ui(chatbot=chatbot, history=[]) # 刷新界面
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@@ -167,13 +167,17 @@ def request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
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"""
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import time, random
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from concurrent.futures import ThreadPoolExecutor
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from request_llm.bridge_chatgpt import predict_no_ui_long_connection
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from request_llm.bridge_all import predict_no_ui_long_connection
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assert len(inputs_array) == len(history_array)
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assert len(inputs_array) == len(sys_prompt_array)
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if max_workers == -1: # 读取配置文件
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try: max_workers, = get_conf('DEFAULT_WORKER_NUM')
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except: max_workers = 8
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if max_workers <= 0 or max_workers >= 20: max_workers = 8
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# 屏蔽掉 chatglm的多线程,可能会导致严重卡顿
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if not llm_kwargs['llm_model'].startswith('gpt-'):
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max_workers = 1
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executor = ThreadPoolExecutor(max_workers=max_workers)
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n_frag = len(inputs_array)
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# 用户反馈
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在新工单中引用
屏蔽一个用户