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vaitor2

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languages = ['zh-TW', 'zh-Hant', 'zh', 'en'] # 優先順序列表
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if transcript:
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trascript_text = json.dumps(trascript_json, ensure_ascii=False, indent=2)
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逐字稿資料：{trascript}
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如果 file 內有找到 file.content["{youtube_id}"] 為資料文本，自行判斷資料的種類，
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error_msg = "你的訊息太長了，請縮短訊息長度至五百字以內"
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raise gr.Error(error_msg)
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raise ValueError("user_message 長度超過 500 個字")
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msg = gr.Textbox(label="Message")
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# msg limit to 1000 characters
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thread_id = gr.Textbox(label="thread_id", visible=False)
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最後只要是參考逐字稿資料，請在回答的最後標註【參考資料：（分）：（秒）】
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if file.filename == f"{youtube_id}_transcript.txt":
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file_list = client.beta.assistants.files.list(assistant_id=assistant_id)
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請嚴格執行，只根據 youtube_id = {youtube_id} 為資料文本，沒有就是沒有資料，不要引用其他資料
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最後只要是參考逐字稿資料，請在回答的最後標註【參考資料：時間軸位置？（分）：？（秒）】
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最後只要是參考逐字稿資料，請在回答的最後標註【參考資料：時間軸位置（秒） -> 轉換成「分：秒」】
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最後只要是參考逐字稿資料，請在回答的最後標註【參考資料：時間軸「時：分：秒」】
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- 在你回答的開頭標註【逐字稿：O/X】
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如果沒有資料，請告訴用戶沒有逐字稿資料，但仍然可以進行對話，使用台灣人的口與表達，及繁體中文 zh-TW
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instructions
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如果沒有資料，請告訴用戶沒有逐字稿資料，但仍然可以進行對話，使用 zh-TW
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- 在你回答的開頭標註【一般學習精靈：{youtube_id} 】
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response_text = messages.data[0].content[0].text.value
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response_text = messages[-1].content.text.value
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學習精靈
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response_text = assistant_responses[-1].content if assistant_responses else "抱歉，助手有點累，好像睡著了，請稍後再試。"
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response_text = "抱歉，助手有點累，好像睡著了，請稍後再試。"
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while time.time() - start_time < max_wait_time:
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def chat_with_youtube_transcript(youtube_id, thread_id, user_message, chat_history, socratic_mode=False):
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import time
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if thread_id is None or thread_id == "":
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video_id = gr.Textbox(label="video_id")
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chat_with_youtube_transcript
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clean code
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data_json
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summary_json = {"summary": str(summary)}
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def get_video_id_summary(video_id, df_string, source):
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elif source == "drive":
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get_questions
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updated_transcript_json
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# 先取消 Google Drive 的图片
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print("===entry===")
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screenshot_path = img_file_id
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screenshot_blob_name
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is_transcript_exists
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print("===更新逐字稿文件===")
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is_transcript_exists
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