Update app.py

app.py

@@ -98,9 +98,11 @@ with gr.Blocks() as iface:
                 heatmap_video = gr.Video(label="Video with Anomaly Heatmap")
                 combined_mse_plot = gr.Plot(label="Combined MSE Plot")
                 correlation_heatmap_plot = gr.Plot(label="Correlation Heatmap")
+                
     with gr.Row():          
         with gr.Group(visible=True) as results_group2:
             with gr.TabItem("Description"):
+                gr.Image(value="appendix/Anomay Detection.png", label="Diagram")
                 gr.Markdown("""
                             # Multimodal Behavioral Anomalies Detection
                             
@@ -123,9 +125,7 @@ with gr.Blocks() as iface:
                             - **Voice Analysis**: Extracts and segment speaker embeddings from audio using PyAnnote.
                             - **Anomaly Detection**: Uses Variational Autoencoder (VAE) to detect anomalies in facial expressions, body postures, and voice features over time.
                             - **Visualization**: Represents changes in facial expressions, body postures, and vocal tone over time, marking anomaly key points.
-                            
-                            ![Example Image](appendix/Anomay Detection.png)
-                            
+                                                        
                             ## InceptionResnetV1
                             The InceptionResnetV1 model is a deep convolutional neural network used for facial recognition and facial attribute extraction.