df_string_output = json.dumps(transcript, ensure_ascii=False, indent=2)

app.py

@@ -287,15 +287,17 @@ def process_youtube_link(link):
 
     # 基于逐字稿生成其他所需的输出
     questions = generate_questions(transcript)
+    # 将 DataFrame 转换为纯文本，並分行
+    df_string_output = json.dumps(transcript, ensure_ascii=False, indent=2)
     df_summarise = generate_df_summarise(transcript)
 
     # 确保返回与 UI 组件预期匹配的输出
     return questions[0] if len(questions) > 0 else "", \
             questions[1] if len(questions) > 1 else "", \
             questions[2] if len(questions) > 2 else "", \
+            df_string_output, \
             df_summarise, \
-            html_content,  \
-            screenshot_paths, 
+            html_content,  
 
 def format_transcript_to_html(formatted_transcript):
     html_content = ""
@@ -460,10 +462,7 @@ with gr.Blocks() as demo:
 
         with gr.Column():
             with gr.Tab("YouTube Transcript and Video"):
-                transcript_html = gr.HTML(label="YouTube Transcript and Video")
-            with gr.Tab("images"):
-                gallery = gr.Gallery(label="截图")
-            
+                transcript_html = gr.HTML(label="YouTube Transcript and Video")            
             with gr.Tab("資料本文"):
                 df_string_output = gr.Textbox()
             with gr.Tab("資料摘要"):
@@ -490,7 +489,7 @@ with gr.Blocks() as demo:
     file_upload.change(process_file, inputs=file_upload, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])
 
     # 当输入 YouTube 链接时触发
-    youtube_link.change(process_youtube_link, inputs=youtube_link, outputs=[btn_1, btn_2, btn_3, df_summarise, transcript_html, gallery])
+    youtube_link.change(process_youtube_link, inputs=youtube_link, outputs=[btn_1, btn_2, btn_3, df_string_output, df_summarise, transcript_html])
 
     # 当输入网页链接时触发
     web_link.change(process_web_link, inputs=web_link, outputs=[btn_1, btn_2, btn_3, df_summarise, df_string_output])