Update app.py

app.py

@@ -54,10 +54,10 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
         return [error_message] + [None] * 27
 
 def show_results(outputs):
-    return gr.Group(visible=True)
+    return gr.Group(visible=True), gr.Group(visible=True), gr.Markdown(visible=False)
 
 with gr.Blocks() as iface:
-    gr.Markdown("""
+    description = gr.Markdown("""
     # Multimodal Behavioral Anomalies Detection
 
     This tool detects anomalies in facial expressions, body language, and voice over the timeline of a video.
@@ -65,13 +65,16 @@ with gr.Blocks() as iface:
     """)
 
     with gr.Row():
-        video_input = gr.Video()
+        video_input = gr.Video(label="Input Video")
 
     anomaly_threshold = gr.Slider(minimum=1, maximum=5, step=0.1, value=3, label="Anomaly Detection Threshold (Standard deviation)")
     fps_slider = gr.Slider(minimum=5, maximum=20, step=1, value=10, label="Frames Per Second (FPS)")
     process_btn = gr.Button("Detect Anomalies")
     progress_bar = gr.Progress()
-    execution_time = gr.Number(label="Execution Time (seconds)")
+    
+    execution_time_group = gr.Group(visible=False)
+    with execution_time_group:
+        execution_time = gr.Number(label="Execution Time (seconds)")
 
     with gr.Group(visible=False) as results_group:
         with gr.Tabs():
@@ -95,7 +98,7 @@ with gr.Blocks() as iface:
                 mse_voice_heatmap = gr.Plot(label="MSE Heatmap: Voice")
 
             with gr.TabItem("Combined"):
-                heatmap_video = gr.Video(label="Video with Anomaly Heatmap")
+                heatmap_video = gr.Video(label="Video with Anomaly Heatmap", visible=False)
                 combined_mse_plot = gr.Plot(label="Combined MSE Plot")
                 correlation_heatmap_plot = gr.Plot(label="Correlation Heatmap")
                 
@@ -127,7 +130,7 @@ with gr.Blocks() as iface:
     ).then(
         show_results,
         inputs=None,
-        outputs=results_group
+        outputs=[results_group, execution_time_group, description]
     )
 
 if __name__ == "__main__":