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vaitor2 / app.py

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user_content = f"請根據 {df_string}，大概描述這張表的欄位敘述、資料樣態與資料分析，告訴老師這張表的意義，以及可能的結論與對應方式"
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def generate_df_summarise(df_string):
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def generate_df_summarise(df_string):
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gr.Markdown("## 常用問題")
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questions
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questions = json_response # 示例问题列表
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json_response = json.loads(response.choices[0].message.content)["questions"]
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user_content
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sys_content = f"你是一個資料分析師，請精讀資料，並用既有資料為本質猜測用戶可能會問的問題，使用 zh-TW"
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sys_content = f"你是一個資料分析師，請精讀資料，並用既有資料為本質猜測用戶可能會問的問題，使用 zh-TW"
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print(json_response)
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return respond(button, df_string_output, chat_history)
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df_string = df.to_string()
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def update_buttons(df_string):
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question_buttons = gr.Container()
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df_string_output = gr.Textbox(label="raw data")
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send_button.click(
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with gr.Blocks() as demo:
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，使用 zh-TW
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df_string_output
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df_string_output = gr.Textbox(label="")
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df_string_output
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OPEN_AI_KEY
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df_string_output
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from openai import OpenAI
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chatbot
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debuig
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