Update app.py

app.py

@@ -52,6 +52,7 @@ def analyze_video(video_path, max_speakers, progress=gr.Progress()):
             gr.Textbox(value=speaker_explanations.get("bigfive", ""), label="Big Five Traits Explanation", visible=True),
             gr.Plot(value=speaker_charts.get("personality", None), visible=True),
             gr.Textbox(value=speaker_explanations.get("personality", ""), label="Personality Disorders Explanation", visible=True),
+            gr.Markdown("---", visible=True),  # Separator for distinct speaker sections
         ]
 
         output_components.extend(speaker_section)
@@ -67,13 +68,14 @@ def analyze_video(video_path, max_speakers, progress=gr.Progress()):
             gr.Textbox(visible=False),
             gr.Plot(visible=False),
             gr.Textbox(visible=False),
+            gr.Markdown(visible=False),  # Placeholder for separator
         ])
 
     # Add the transcript at the end
     output_components.append(gr.Textbox(value=transcription, label="Transcript", lines=10, visible=True))
 
-    # Add the execution time
-    output_components.append(gr.Textbox(value=f"Completed in {int(execution_time)} seconds.", label="Execution Information", visible=True))
+    # Add the execution time at the top
+    output_components.insert(0, gr.Textbox(value=f"Completed in {int(execution_time)} seconds.", label="Execution Information", visible=True))
 
     return output_components
 
@@ -87,6 +89,15 @@ with gr.Blocks() as iface:
 
     analyze_button = gr.Button("Analyze")
 
+    # Execution Information box directly below the Analyze button
+    execution_info_box = gr.Textbox(label="Execution Information", value="Waiting for analysis...", lines=2)
+    analyze_button.click(
+        fn=analyze_video,
+        inputs=[video_input, max_speakers],
+        outputs=[execution_info_box] + output_components,
+        show_progress=True
+    )
+
     # Create placeholders for output components
     output_components = []
     for _ in range(6):  # Assuming maximum of 6 speakers
@@ -99,20 +110,10 @@ with gr.Blocks() as iface:
             gr.Textbox(label="Big Five Traits Explanation", visible=False),
             gr.Plot(visible=False),
             gr.Textbox(label="Personality Disorders Explanation", visible=False),
+            gr.Markdown("---", visible=False),  # Placeholder for separator
         ])
     output_components.append(gr.Textbox(label="Transcript", lines=10, visible=False))
-    execution_info_box = gr.Textbox(label="Execution Information", value="Waiting for analysis...", lines=2)
-
-    output_components.append(execution_info_box)
-
-    analyze_button.click(
-        fn=analyze_video,
-        inputs=[video_input, max_speakers],
-        outputs=output_components,
-        show_progress=True
-    )
 
 # Launch the app
 if __name__ == "__main__":
     iface.launch()
-