Update app.py

app.py

@@ -411,22 +411,12 @@ iface = gr.Interface(
     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)
+    - Number of Anomalies: How many top anomalies to detect in the video
+    - Number of Components: Complexity of the facial expression model (default = 3)
+    - Desired FPS: Frames per second to analyze (lower for faster processing - optimal: 10-20)
     - Batch Size: Affects processing speed and memory usage
     
-    Upload a video and click 'Submit' to start the analysis.
     """
 )