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import threading |
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from predict import predict_no_ui_long_connection |
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from toolbox import CatchException, write_results_to_file |
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@CatchException |
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def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt, WEB_PORT): |
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history = [] |
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import time, glob, os |
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file_manifest = [f for f in glob.glob('./**/*.py', recursive=True) if ('test_project' not in f) and ('gpt_log' not in f)] |
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i_say_show_user_buffer = [] |
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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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i_say_show_user =f'[{index}/{len(file_manifest)}] 接下来请将以下代码中包含的所有中文转化为英文,只输出代码: {os.path.abspath(fp)}' |
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i_say_show_user_buffer.append(i_say_show_user) |
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chatbot.append((i_say_show_user, "[Local Message] 等待多线程操作,中间过程不予显示.")) |
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yield chatbot, history, '正常' |
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mutable_return = [None for _ in file_manifest] |
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def thread_worker(fp,index): |
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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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i_say = f'接下来请将以下代码中包含的所有中文转化为英文,只输出代码,文件名是{fp},文件代码是 ```{file_content}```' |
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gpt_say = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt) |
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mutable_return[index] = gpt_say |
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handles = [threading.Thread(target=thread_worker, args=(fp,index)) for index, fp in enumerate(file_manifest)] |
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for h in handles: |
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h.daemon = True |
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h.start() |
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for index, h in enumerate(handles): |
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h.join() |
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fp = file_manifest[index] |
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gpt_say = mutable_return[index] |
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i_say_show_user = i_say_show_user_buffer[index] |
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os.makedirs('gpt_log/generated_english_version', exist_ok=True) |
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os.makedirs('gpt_log/generated_english_version/crazy_functions', exist_ok=True) |
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where_to_relocate = f'gpt_log/generated_english_version/{fp}' |
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with open(where_to_relocate, 'w+', encoding='utf-8') as f: f.write(gpt_say.lstrip('```').rstrip('```')) |
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chatbot.append((i_say_show_user, f'[Local Message] 已完成{os.path.abspath(fp)}的转化,\n\n存入{os.path.abspath(where_to_relocate)}')) |
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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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res = write_results_to_file(history) |
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chatbot.append(("完成了吗?", res)) |
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yield chatbot, history, '正常' |
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