Update app.py

app.py

@@ -56,10 +56,11 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
 def on_button_click(video, threshold, fps):
     start_time = time.time()
     
-    # Show execution time immediately
+    # Show execution time immediately and make results tab visible
     yield {
         execution_time: gr.update(visible=True, value=0),
-        results_tab: gr.update(visible=True)
+        results_tab: gr.update(visible=True),
+        tabs: gr.update(selected="Results")
     }
     
     results = process_and_show_completion(video, threshold, fps)
@@ -107,6 +108,36 @@ with gr.Blocks() as iface:
     execution_time = gr.Number(label="Execution Time (seconds)", visible=False)
 
     with gr.Tabs() as tabs:
+        results_tab = gr.TabItem("Results")
+        with results_tab:
+            with gr.Tabs():
+                with gr.TabItem("Facial Features"):
+                    video_display_facial = gr.Video(label="Input Video")
+                    results_text = gr.TextArea(label="Faces Breakdown", lines=5)
+                    mse_features_plot = gr.Plot(label="MSE: Facial Features")
+                    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", columns=10, rows=2, height="auto")
+
+                with gr.TabItem("Body Posture"):
+                    video_display_body = gr.Video(label="Input Video")
+                    mse_posture_plot = gr.Plot(label="MSE: Body Posture")
+                    mse_posture_hist = gr.Plot(label="MSE Distribution: Body Posture")
+                    mse_posture_heatmap = gr.Plot(label="MSE Heatmap: Body Posture")
+                    anomaly_frames_posture = gr.Gallery(label="Anomaly Frames (Body Posture)", columns=6, rows=2, height="auto")
+
+                with gr.TabItem("Voice"):
+                    video_display_voice = gr.Video(label="Input Video")
+                    mse_voice_plot = gr.Plot(label="MSE: Voice")
+                    mse_voice_hist = gr.Plot(label="MSE Distribution: Voice")
+                    mse_voice_heatmap = gr.Plot(label="MSE Heatmap: Voice")
+
+                with gr.TabItem("Combined"):
+                    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.TabItem("Description"):
             with gr.Column():
                 gr.Markdown("""
@@ -145,40 +176,11 @@ with gr.Blocks() as iface:
                 This tool offers solutions for detecting behavioral anomalies in video content. However, users should be aware of its limitations and interpret results with caution.
                 """)
 
-        with gr.TabItem("Results", id="results_tab", visible=False) as results_tab:
-            with gr.Tabs():
-                with gr.TabItem("Facial Features"):
-                    video_display_facial = gr.Video(label="Input Video")
-                    results_text = gr.TextArea(label="Faces Breakdown", lines=5)
-                    mse_features_plot = gr.Plot(label="MSE: Facial Features")
-                    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", columns=10, rows=2, height="auto")
-
-                with gr.TabItem("Body Posture"):
-                    video_display_body = gr.Video(label="Input Video")
-                    mse_posture_plot = gr.Plot(label="MSE: Body Posture")
-                    mse_posture_hist = gr.Plot(label="MSE Distribution: Body Posture")
-                    mse_posture_heatmap = gr.Plot(label="MSE Heatmap: Body Posture")
-                    anomaly_frames_posture = gr.Gallery(label="Anomaly Frames (Body Posture)", columns=6, rows=2, height="auto")
-
-                with gr.TabItem("Voice"):
-                    video_display_voice = gr.Video(label="Input Video")
-                    mse_voice_plot = gr.Plot(label="MSE: Voice")
-                    mse_voice_hist = gr.Plot(label="MSE Distribution: Voice")
-                    mse_voice_heatmap = gr.Plot(label="MSE Heatmap: Voice")
-
-                with gr.TabItem("Combined"):
-                    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")
-
     process_btn.click(
         fn=on_button_click,
         inputs=[video_input, anomaly_threshold, fps_slider],
         outputs=[
-            execution_time, results_tab,
+            execution_time, results_tab, tabs,
             results_text, mse_features_plot, mse_posture_plot, mse_voice_plot,
             mse_features_hist, mse_posture_hist, mse_voice_hist,
             mse_features_heatmap, mse_posture_heatmap, mse_voice_heatmap,