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video_bot_999

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summary_json = { "summary": str(summary) }
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with open(f'{OUTPUT_PATH}/{video_id}_summary.json', 'w') as f:
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with io.BytesIO(content.encode('utf-8')) as fh:
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processed_summary = { "summary": str(summary) }
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summary_json
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JSON format 為 \{
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summarise_json
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fixbug processed_summary = str(summary)
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processed_summary = str(summary)
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processed_summary
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json_text = json_text.replace(":", "\\:")
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def preprocess_text(text):
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def preprocess_text(text):
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summary = generate_summarise(df_string)
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summary = "summary_summary_summary"
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upload_content_directly
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get_video_id_summary
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# if chat_history is not none, append role, content to messages
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error_msg = f" {video_id} 逐字稿錯誤: {str(e)}"
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print("===get_video_id_summary error===")
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raise gr.Error(error_msg)
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user_content = f"請根據 {df_string} 生成三個問題，並用 JSON 格式返回 questions:[q1的敘述text, q2的敘述text, q3的敘述text]"
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summary_json = {"summary": summary}
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summary_text = json.dumps(summary_json, ensure_ascii=False, indent=2)
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summary = get_video_id_summary(video_id, formatted_simple_transcript)
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df_summarise = gr.Textbox(container=True, show_copy_button=True, lines=40)
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print("=====get_questions=====")
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btn_create_question.click(get_questions, inputs = [df_string_output], outputs = [btn_1, btn_2, btn_3])
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btn_create_question.click(generate_questions, inputs = [df_string_output], outputs = [btn_1, btn_2, btn_3])
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btn_create_question
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with gr.Tab("重點整理"):
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並在1~6的數字標題前面用 emoji 數字符號，讓學生更容易分辨
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4. 結論反思（為什麼我們要學這個？）
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並在1~5的數字標題前面用 emoji 數字符號，讓學生更容易分辨
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延伸小問題
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注意不要遺漏任何一段時間軸的內容
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並在大標題前面加上 emoji 表情符號，讓學生更容易理解
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, visible=False
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如果是影片類型，不用解釋逐字稿格式，直接回答學生問題
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