Update app.py

app.py

@@ -71,10 +71,20 @@ def analyze_video(video_path, progress=gr.Progress()):
 
 with gr.Blocks() as iface:
     gr.Markdown("# AI Personality Detection")
-    gr.Markdown("Upload a video")
-
-    video_input = gr.Video(label="Upload Video")
-    analyze_button = gr.Button("Analyze")
+    
+    with gr.Row():
+        with gr.Column(scale=3):
+            gr.Markdown("Upload a video")
+            video_input = gr.Video(label="Upload Video")
+        with gr.Column(scale=1):
+            gr.Markdown("Example Video")
+            example_video = gr.Video("examples/Scenes.From.A.Marriage.US.mp4", label="Example Video")
+    
+    with gr.Row():
+        with gr.Column(scale=3):
+            analyze_button = gr.Button("Analyze")
+        with gr.Column(scale=1):
+            use_example_button = gr.Button("Use Example Video")
 
     # Create output components
     output_components = []
@@ -99,6 +109,9 @@ with gr.Blocks() as iface:
     transcript_output = gr.Textbox(label="Transcript", lines=10, visible=False)
     output_components.append(transcript_output)
 
+    def use_example():
+        return "examples/Scenes.From.A.Marriage.US.mp4"
+
     analyze_button.click(
         fn=analyze_video,
         inputs=[video_input],
@@ -106,5 +119,16 @@ with gr.Blocks() as iface:
         show_progress=True
     )
 
+    use_example_button.click(
+        fn=use_example,
+        inputs=[],
+        outputs=[video_input],
+    ).then(
+        fn=analyze_video,
+        inputs=[video_input],
+        outputs=output_components,
+        show_progress=True
+    )
+
 if __name__ == "__main__":
     iface.launch()