Update app.py

app.py

@@ -385,9 +385,9 @@ def process_video(video_path, num_anomalies, num_components, desired_fps, batch_
                               zip(anomaly_scores_all[top_indices_all], df['Timecode'].iloc[top_indices_all].values)])
 
         progress(1.0, "Complete")
-        return results, anomaly_plot, *emotion_plots
-
-# Gradio interface
+        return results, anomaly_plot, emotion_plots[0], emotion_plots[1], emotion_plots[2]
+        
+# Updated Gradio interface
 iface = gr.Interface(
     fn=process_video,
     inputs=[
@@ -399,13 +399,33 @@ iface = gr.Interface(
     ],
     outputs=[
         gr.Textbox(label="Anomaly Detection Results"),
-        gr.Plot(label="Anomaly Scores"),
-        gr.Plot(label="Fear Scores"),
-        gr.Plot(label="Sad Scores"),
-        gr.Plot(label="Angry Scores")
+        gr.Plot(label="Anomaly Scores").style(full_width=True, height=500),
+        gr.Plot(label="Fear Scores").style(full_width=True, height=500),
+        gr.Plot(label="Sad Scores").style(full_width=True, height=500),
+        gr.Plot(label="Angry Scores").style(full_width=True, height=500)
     ],
     title="Facial Expressions Anomaly Detection",
-    description="Upload a video to detect anomalies in facial expressions and emotions. Adjust parameters as needed."
+    description="""
+    This application detects anomalies in facial expressions and emotions from a video input. 
+    It focuses on the most frequently appearing person in the video for analysis.
+    
+    How it works:
+    1. The app extracts faces from the video frames.
+    2. It identifies the most frequent person (face) in the video.
+    3. For this person, it analyzes facial expressions and emotions over time.
+    4. It then detects anomalies in these expressions and emotions.
+    
+    The graphs show anomaly scores and emotion intensities over time. 
+    Click on any graph to view it in full size.
+    
+    Adjust the parameters as needed:
+    - Number of Anomalies: How many top anomalies to detect
+    - Number of Components: Complexity of the facial expression model
+    - Desired FPS: Frames per second to analyze (lower for faster processing)
+    - Batch Size: Affects processing speed and memory usage
+    
+    Upload a video and click 'Submit' to start the analysis.
+    """
 )
 
 if __name__ == "__main__":