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vaitor2

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def get_mind_map_html(mind_map):
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mind_map
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"model": "gpt-4-turbo-preview",
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def get_video_id_summary(video_id, df_string):
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send_question delete
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print(socratic_mode)
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最後，在你回答的開頭標註【蘇格拉底助教】
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summary_json = {"summary": str(summary)}
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socratic_mode_btn = gr.Checkbox(label="蘇格拉底家教助理模式", value=False)
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def get_questions(video_id, df_string):
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if not video_id:
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get_video_id
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def get_questions(video_id, df_string):
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# print(f"TRANSCRIPTS: {TRANSCRIPTS}")
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🗂️
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upload_content_directly
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summary_json = { "summary": str(summary.replace("\n","|")) }
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print("Uploaded %d%%." % (status.progress() * 100))
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questions
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add emoji
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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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no emoji
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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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refactor
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summary
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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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