Update app.py

app.py

@@ -59,18 +59,18 @@ def process_and_show_completion(video_input_path, anomaly_threshold_input, fps,
         return [error_message] + [None] * 27
 
 def show_results():
-    return [gr.Tab.update(visible=True) for _ in range(4)] + [gr.Tab.update(visible=False)]
-
-def hide_description_show_results():
-    return [gr.Tab.update(visible=False)] + [gr.Tab.update(visible=True) for _ in range(4)], gr.Group.update(visible=True)
+    return [gr.Tab.update(visible=True) for _ in range(4)]
 
 def start_execution_timer():
-    return gr.Number.update(value=0, visible=True), gr.Markdown.update(visible=True)
+    return gr.Markdown.update(value="Execution time: 0 seconds", visible=True)
 
 def update_execution_time():
-    return gr.Number.update()
+    current_time = time.time() - start_time
+    return gr.Markdown.update(value=f"Execution time: {current_time:.2f} seconds")
 
 with gr.Blocks() as iface:
+    start_time = gr.State(0)
+
     with gr.Row():
         video_input = gr.Video(label="Input Video")
 
@@ -78,16 +78,11 @@ with gr.Blocks() as iface:
     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_group = gr.Group(visible=False)
-    with execution_time_group:
-        execution_time = gr.Number(label="Execution Time", visible=False)
-        execution_time_text = gr.Markdown("Execution time will be displayed here", visible=False)
 
     with gr.Tabs() as all_tabs:
         description_tab = gr.Tab("Description")
         with description_tab:
-            gr.Markdown("""
+            description_md = gr.Markdown("""
             # Multimodal Behavioral Anomalies Detection
 
             This tool detects anomalies in facial expressions, body language, and voice over the timeline of a video.
@@ -133,18 +128,18 @@ with gr.Blocks() as iface:
     mse_heatmap_voice_store = gr.State()
     
     process_btn.click(
-        start_execution_timer,
+        lambda: time.time(),
         inputs=None,
-        outputs=[execution_time, execution_time_text]
+        outputs=start_time
     ).then(
-        hide_description_show_results,
+        start_execution_timer,
         inputs=None,
-        outputs=[description_tab, facial_features_tab, body_posture_tab, voice_tab, combined_tab, execution_time_group]
+        outputs=description_md
     ).then(
         process_and_show_completion,
         inputs=[video_input, anomaly_threshold, fps_slider],
         outputs=[
-            execution_time, results_text, df_store,
+            description_md, results_text, df_store,
             mse_features_store, mse_posture_store, mse_voice_store,
             mse_features_plot, mse_posture_plot, mse_voice_plot,
             mse_features_hist, mse_posture_hist, mse_voice_hist,
@@ -158,13 +153,13 @@ with gr.Blocks() as iface:
     ).then(
         show_results,
         inputs=None,
-        outputs=all_tabs.children
+        outputs=all_tabs.children[1:]
     )
 
-    execution_time.change(
+    description_md.change(
         update_execution_time,
-        inputs=None,
-        outputs=execution_time_text,
+        inputs=[start_time],
+        outputs=description_md,
         every=1
     )