镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-09 07:56:48 +00:00
typo: Fix typos and rename functions across multiple files (#2130)
* 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>
这个提交包含在:
@@ -4,7 +4,7 @@ from typing import List
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from shared_utils.fastapi_server import validate_path_safety
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from toolbox import report_exception
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from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_lastest_msg
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from toolbox import CatchException, update_ui, get_conf, get_log_folder, update_ui_latest_msg
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from shared_utils.fastapi_server import validate_path_safety
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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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@@ -92,7 +92,7 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u
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chatbot.append([txt, f'正在清空 ({current_context}) ...'])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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rag_worker.purge_vector_store()
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yield from update_ui_lastest_msg('已清空', chatbot, history, delay=0) # 刷新界面
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yield from update_ui_latest_msg('已清空', chatbot, history, delay=0) # 刷新界面
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return
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# 3. Normal Q&A processing
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@@ -109,10 +109,10 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u
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# 5. If input is clipped, add input to vector store before retrieve
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if input_is_clipped_flag:
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yield from update_ui_lastest_msg('检测到长输入, 正在向量化 ...', chatbot, history, delay=0) # 刷新界面
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yield from update_ui_latest_msg('检测到长输入, 正在向量化 ...', chatbot, history, delay=0) # 刷新界面
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# Save input to vector store
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rag_worker.add_text_to_vector_store(txt_origin)
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yield from update_ui_lastest_msg('向量化完成 ...', chatbot, history, delay=0) # 刷新界面
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yield from update_ui_latest_msg('向量化完成 ...', chatbot, history, delay=0) # 刷新界面
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if len(txt_origin) > REMEMBER_PREVIEW:
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HALF = REMEMBER_PREVIEW // 2
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@@ -142,7 +142,7 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u
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)
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# 8. Remember Q&A
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yield from update_ui_lastest_msg(
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yield from update_ui_latest_msg(
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model_say + '</br></br>' + f'对话记忆中, 请稍等 ({current_context}) ...',
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chatbot, history, delay=0.5
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)
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@@ -150,4 +150,4 @@ def Rag问答(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, u
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history.extend([i_say, model_say])
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# 9. Final UI Update
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yield from update_ui_lastest_msg(model_say, chatbot, history, delay=0, msg=tip)
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yield from update_ui_latest_msg(model_say, chatbot, history, delay=0, msg=tip)
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