Update app.py

app.py

@@ -62,8 +62,8 @@ with gr.Blocks() as iface:
     with gr.Row():
         video_input = gr.Video()
 
-    anomaly_threshold = gr.Slider(minimum=1, maximum=5, step=0.1, value=3, label="Anomaly Detection Threshold")
-    fps_slider = gr.Slider(minimum=5, maximum=20, step=1, value=10, label="Frames Per Second")
+    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)")
@@ -76,8 +76,8 @@ with gr.Blocks() as iface:
             mse_features_hist = gr.Plot(label="MSE Distribution: Facial Features")
             mse_features_heatmap = gr.Plot(label="MSE Heatmap: Facial Features")
             anomaly_frames_features = gr.Gallery(label="Anomaly Frames (Facial Features)", columns=6, rows=2, height="auto")
-            face_samples_most_frequent = gr.Gallery(label="Most Frequent Person Samples (Target)", columns=6, rows=2, height="auto")
-            face_samples_others = gr.Gallery(label="Other Samples", columns=6, rows=1, height="auto")
+            #face_samples_most_frequent = gr.Gallery(label="Other Samples", columns=10, rows=2, height="auto")
+            #face_samples_others = gr.Gallery(label="Other Samples", columns=6, rows=1, height="auto")
 
         with gr.Tab("Body Posture"):
             mse_posture_plot = gr.Plot(label="MSE: Body Posture")