Update app.py

app.py

@@ -19,6 +19,9 @@ import gradio as gr
 import tempfile
 import shutil
 import subprocess
+import tensorflow as tf
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
+tf.get_logger().setLevel('ERROR')
 
 # Initialize models and other global variables
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
@@ -387,7 +390,6 @@ def process_video(video_path, num_anomalies, num_components, desired_fps, batch_
         progress(1.0, "Complete")
         return results, anomaly_plot, emotion_plots[0], emotion_plots[1], emotion_plots[2]
         
-# Updated Gradio interface
 iface = gr.Interface(
     fn=process_video,
     inputs=[
@@ -399,10 +401,10 @@ iface = gr.Interface(
     ],
     outputs=[
         gr.Textbox(label="Anomaly Detection Results"),
-        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)
+        gr.Plot(label="Anomaly Scores"),
+        gr.Plot(label="Fear Scores"),
+        gr.Plot(label="Sad Scores"),
+        gr.Plot(label="Angry Scores")
     ],
     title="Facial Expressions Anomaly Detection",
     description="""