summary_button = gr.Button("生成摘要", visible=False)

app.py

@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
 
+from typing import Container
 import gradio as gr
 import os
 import shutil
@@ -174,6 +175,13 @@ def process_all_files(file_list):
     print("\n=== 檔案處理完成 ===")
     return result_text, transcript_text
 
+def on_summary_click(transcript):
+    if not transcript:
+        return "請先上傳文件或輸入 YouTube 連結並處理完成後再生成摘要。"
+    
+    summary = generate_summary(transcript)
+    return summary
+
 with gr.Blocks() as demo:
     gr.Markdown("# AI Notes Assistant")
 
@@ -214,13 +222,19 @@ with gr.Blocks() as demo:
         with gr.Column(visible=True) as feature_column:
             gr.Markdown("### 功能卡片")
             with gr.Tab("摘要生成"):
-                summary_button = gr.Button("生成摘要")
-                summary_output = gr.Markdown(label="摘要")
+                summary_button = gr.Button("生成摘要", visible=False)
+                summary_output = gr.Markdown(
+                    label="摘要",
+                    show_label=True,
+                    show_copy_button=True,
+                    container=True
+                )
             with gr.Tab("逐字稿"):
                 transcript_display = gr.Textbox(
                     label="YouTube 逐字稿", 
                     interactive=False, 
                     lines=10,
+                    show_copy_button=True,
                     placeholder="處理 YouTube 影片後，逐字稿將顯示在這裡..."
                 )
             with gr.Tab("其他功能"):
@@ -230,26 +244,27 @@ with gr.Blocks() as demo:
     chat_toggle.change(toggle_visibility, inputs=chat_toggle, outputs=chat_column)
     feature_toggle.change(toggle_visibility, inputs=feature_toggle, outputs=feature_column)
 
+
+
     # 更新處理檔案按鈕的事件處理
     process_files_button.click(
         process_all_files,
         inputs=[file_list],
         outputs=[rag_result, transcript_display]
+    ).then(
+        fn=on_summary_click,
+        inputs=[transcript_display],
+        outputs=[summary_output]
     )
 
     history = gr.State([])
     ask_button.click(mock_question_answer, inputs=[question, history], outputs=[chatbot, question])
     summary_button.click(
-        fn=lambda transcript: on_summary_click(transcript),
-        inputs=[transcript_display],
+        fn=on_summary_click, 
+        inputs=[transcript_display], 
         outputs=[summary_output]
     )
 
-    def on_summary_click(transcript):
-        if not transcript:
-            return "請先上傳文件或輸入 YouTube 連結並處理完成後再生成摘要。"
-        
-        summary = generate_summary(transcript)
-        return summary
+    
 
 demo.launch(share=True)