易读性+
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				@ -2,61 +2,6 @@ from predict import predict_no_ui
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from toolbox import CatchException, report_execption, write_results_to_file
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fast_debug = False
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@CatchException
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def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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    history = []    # 清空历史,以免输入溢出
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    for i in range(5):
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        i_say = f'我给出一个数字,你给出该数字的平方。我给出数字:{i}'
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        chatbot.append((i_say, "[Local Message] waiting gpt response."))
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        yield chatbot, history, '正常'  # 由于请求gpt需要一段时间,我们先及时地做一次状态显示
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        gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) # 请求gpt,需要一段时间
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        chatbot[-1] = (i_say, gpt_say)
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        history.append(i_say);history.append(gpt_say)
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        yield chatbot, history, '正常'  # 显示
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@CatchException
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def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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    history = []    # 清空历史,以免输入溢出
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    import time, glob, os
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    file_manifest = [f for f in glob.glob('*.py')]
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    for index, fp in enumerate(file_manifest):
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        with open(fp, 'r', encoding='utf-8') as f:
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            file_content = f.read()
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        前言 = "接下来请你分析自己的程序构成,别紧张," if index==0 else ""
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        i_say = 前言 + f'请对下面的程序文件做一个概述文件名是{fp},文件代码是 ```{file_content}```'
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        i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {os.path.abspath(fp)}'
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        chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
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        yield chatbot, history, '正常'
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        if not fast_debug: 
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            # ** gpt request **
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            gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
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            chatbot[-1] = (i_say_show_user, gpt_say)
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            history.append(i_say_show_user); history.append(gpt_say)
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            yield chatbot, history, '正常'
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            time.sleep(2)
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    i_say = f'根据以上你自己的分析,对程序的整体功能和构架做出概括。然后用一张markdown表格整理每个文件的功能(包括{file_manifest})。'
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    chatbot.append((i_say, "[Local Message] waiting gpt response."))
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    yield chatbot, history, '正常'
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    if not fast_debug: 
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        # ** gpt request **
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        gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
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        chatbot[-1] = (i_say, gpt_say)
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        history.append(i_say); history.append(gpt_say)
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        yield chatbot, history, '正常'
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def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
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    import time, glob, os
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    print('begin analysis on:', file_manifest)
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@ -114,6 +59,57 @@ def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot,
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        chatbot.append(("完成了吗?", res))
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        yield chatbot, history, msg
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@CatchException
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def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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    history = []    # 清空历史,以免输入溢出
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    for i in range(5):
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        i_say = f'我给出一个数字,你给出该数字的平方。我给出数字:{i}'
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        chatbot.append((i_say, "[Local Message] waiting gpt response."))
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        yield chatbot, history, '正常'  # 由于请求gpt需要一段时间,我们先及时地做一次状态显示
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        gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) # 请求gpt,需要一段时间
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        chatbot[-1] = (i_say, gpt_say)
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        history.append(i_say);history.append(gpt_say)
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        yield chatbot, history, '正常'  # 显示
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@CatchException
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def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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    history = []    # 清空历史,以免输入溢出
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    import time, glob, os
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    file_manifest = [f for f in glob.glob('*.py')]
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    for index, fp in enumerate(file_manifest):
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        with open(fp, 'r', encoding='utf-8') as f:
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            file_content = f.read()
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        前言 = "接下来请你分析自己的程序构成,别紧张," if index==0 else ""
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        i_say = 前言 + f'请对下面的程序文件做一个概述文件名是{fp},文件代码是 ```{file_content}```'
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        i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {os.path.abspath(fp)}'
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        chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
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        yield chatbot, history, '正常'
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        if not fast_debug: 
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            # ** gpt request **
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            gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
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            chatbot[-1] = (i_say_show_user, gpt_say)
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            history.append(i_say_show_user); history.append(gpt_say)
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            yield chatbot, history, '正常'
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            time.sleep(2)
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    i_say = f'根据以上你自己的分析,对程序的整体功能和构架做出概括。然后用一张markdown表格整理每个文件的功能(包括{file_manifest})。'
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    chatbot.append((i_say, "[Local Message] waiting gpt response."))
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    yield chatbot, history, '正常'
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    if not fast_debug: 
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        # ** gpt request **
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        gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
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        chatbot[-1] = (i_say, gpt_say)
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        history.append(i_say); history.append(gpt_say)
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        yield chatbot, history, '正常'
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@CatchException
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def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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@ -183,7 +179,6 @@ def get_crazy_functionals():
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            "Color": "stop",    # 按钮颜色
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            "Function": 高阶功能模板函数
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        },
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    }
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