Update app.py

app.py

@@ -98,7 +98,7 @@ def analyze_video(video_path, language_display_name, max_speakers, progress=gr.P
     start_time = time.time()
 
     if not video_path:
-        return [gr.Markdown("Please upload a video file.")]
+        return [gr.Markdown("Please upload a video file.")], "Analysis not started."
 
     # Convert the display name to the language code
     language = LANGUAGE_MAP[language_display_name]
@@ -151,13 +151,10 @@ def analyze_video(video_path, language_display_name, max_speakers, progress=gr.P
                        label=f"Personality Disorders Explanation - Speaker {speaker_id}", lines=2)
         ])
 
-    # Add the transcript and execution info at the end
-    output_components.extend([
-        gr.Textbox(value=transcription, label="Transcript", lines=10),
-        gr.Textbox(value=f"Completed in {int(execution_time)} seconds.", label="Execution Information")
-    ])
+    # Add the transcript at the end
+    output_components.append(gr.Textbox(value=transcription, label="Transcript", lines=10))
 
-    return output_components
+    return output_components, f"Completed in {int(execution_time)} seconds."
 
 # Define the Gradio interface
 with gr.Blocks() as iface:
@@ -170,14 +167,16 @@ with gr.Blocks() as iface:
 
     analyze_button = gr.Button("Analyze")
 
-    # Create a group for dynamic outputs
-    with gr.Group() as output_group:
-        output_components = []
+    # Create a container for dynamic outputs
+    output_container = gr.Column()
+    
+    # Execution time box
+    execution_info_box = gr.Textbox(label="Execution Information", value="Waiting for analysis...", lines=2)
 
     analyze_button.click(
         fn=analyze_video,
         inputs=[video_input, language_input, max_speakers],
-        outputs=output_group,
+        outputs=[output_container, execution_info_box],
         show_progress=True
     )