question_buttons = gr.Container()

app.py

@@ -21,6 +21,16 @@ def process_file(file):
     # 返回 DataFrame 字符串，以用作聊天机器人的系统提示
     return df_string
 
+def generate_questions(df_string):
+    # 使用 OpenAI 生成基于上传数据的问题
+    # 这里需要编写代码来实现此功能
+    questions = ["问题 1", "问题 2", "问题 3"]  # 示例问题列表
+    return questions
+
+def send_question(question, df_string_output, chat_history):
+    # 当问题按钮被点击时调用此函数
+    return respond(question, df_string_output, chat_history)
+
 def respond(user_message, df_string_output, chat_history):
     print("=== 變數：user_message ===")
     print(user_message)
@@ -70,6 +80,7 @@ with gr.Blocks() as demo:
 
         with gr.Column():
             df_string_output = gr.Textbox(label="raw data")
+            question_buttons = gr.Container()
 
     send_button.click(
         respond, 
@@ -77,6 +88,16 @@ with gr.Blocks() as demo:
         outputs=[msg, chatbot]
     )
 
-    file_upload.change(process_file, inputs=file_upload, outputs=df_string_output)
+    # file_upload.change(process_file, inputs=file_upload, outputs=df_string_output)
+
+    file_upload.change(process_file, inputs=file_upload, outputs=[df_string_output, question_buttons])
+
+    # 根据生成的问题创建按钮
+    for question in generate_questions(""):  # 初始时为空
+        question_buttons.append(gr.Button(question, elem_id=question).click(
+            send_question, 
+            inputs=[question, df_string_output, chatbot], 
+            outputs=[msg, chatbot]
+        ))
 
 demo.launch()