Spaces:
Sleeping
Sleeping
def update_buttons(df_string):
Browse files
app.py
CHANGED
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@@ -18,8 +18,13 @@ def process_file(file):
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# 将 DataFrame 转换为字符串
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df_string = df.to_string()
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def generate_questions(df_string):
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# 使用 OpenAI 生成基于上传数据的问题
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return "", chat_history
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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with gr.Column():
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df_string_output = gr.Textbox(label="raw data")
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question_buttons = gr.Container()
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send_button.click(
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respond,
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inputs=[msg, df_string_output, chatbot],
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)
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# file_upload.change(process_file, inputs=file_upload, outputs=df_string_output)
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file_upload.change(process_file, inputs=file_upload, outputs=[df_string_output, question_buttons])
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# 根据生成的问题创建按钮
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for question in generate_questions(""): # 初始时为空
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question_buttons.append(gr.Button(question, elem_id=question).click(
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send_question,
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inputs=[question, df_string_output, chatbot],
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outputs=[msg, chatbot]
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))
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demo.launch()
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# 将 DataFrame 转换为字符串
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df_string = df.to_string()
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return update_buttons(df_string), df_string
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def update_buttons(df_string):
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# 根据上传的文件内容生成问题
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questions = generate_questions(df_string)
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return questions[:3] # 确保返回三个问题
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def generate_questions(df_string):
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# 使用 OpenAI 生成基于上传数据的问题
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return "", chat_history
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def on_button_click(button, df_string_output, chat_history):
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# 当按钮被点击时发送对应的问题
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return respond(button.text, df_string_output, chat_history)
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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with gr.Column():
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df_string_output = gr.Textbox(label="raw data")
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with gr.Group():
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gr.Markdown("## 常用问题")
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btn_1 = gr.Button()
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btn_2 = gr.Button()
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btn_3 = gr.Button()
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send_button.click(
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respond,
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inputs=[msg, df_string_output, chatbot],
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)
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# file_upload.change(process_file, inputs=file_upload, outputs=df_string_output)
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file_upload.change(process_file, inputs=file_upload, outputs=[(btn_1, "text"), (btn_2, "text"), (btn_3, "text"), df_string_output])
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# 连接按钮点击事件
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btn_1.click(on_button_click, inputs=[btn_1, df_string_output, chatbot], outputs=[msg, chatbot])
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btn_2.click(on_button_click, inputs=[btn_2, df_string_output, chatbot], outputs=[msg, chatbot])
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btn_3.click(on_button_click, inputs=[btn_3, df_string_output, chatbot], outputs=[msg, chatbot])
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demo.launch()
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