latest changes

app.py

@@ -88,7 +88,6 @@ def predict_live_frames(input_frame):
     global frame_buffer, current_prediction_label, current_probabilities
 
     if input_frame is None:
-        # If no frame is received (e.g., webcam not active or disconnected)
         dummy_frame = np.zeros((200, 400, 3), dtype=np.uint8)
         cv2.putText(dummy_frame, "Waiting for webcam input...", (10, 100), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255, 255, 255), 2)
         yield dummy_frame
@@ -141,9 +140,8 @@ def predict_live_frames(input_frame):
 # --- 5. Gradio Blocks Interface Setup ---
 with gr.Blocks(
     title="Real-time Violence Detection", # Title for the browser tab
-    theme=gr.themes.Default(primary_hue=gr.Color(c50='#e0f7fa', c100='#b2ebf2', c200='#80deea', c300='#4dd0e1', c400='#26c6da', c500='#00bcd4', c600='#00acc1', c700='#0097a7', c800='#00838f', c900='#006064', ca50='#84ffff', ca100='#18ffff', ca200='#00e5ff', ca400='#00b8d4')) # Optional: A subtle theme change
+    # REMOVED: theme=gr.themes.Default(primary_hue=gr.Color(...)) to fix the AttributeError
 ) as demo:
-    # Optional: Display a title and description clearly, even without buttons
     gr.Markdown(
         """
         # 🎬 Real-time Violence Detection
@@ -155,32 +153,25 @@ with gr.Blocks(
     )
     
     with gr.Row():
-        # Input: Live webcam feed
-        # We need to set a minimum height and width to ensure the video feed is displayed reasonably
         video_input = gr.Video(
             sources=["webcam"], 
             streaming=True, 
             label="Live Webcam Feed",
-            # Optional: Set dimensions for the video display
-            height=480, # or None for auto
-            width=640 # or None for auto
+            height=480, 
+            width=640 
         )
         
-        # Output: Image component to display processed frames
         video_output = gr.Image(
             type="numpy", 
             label="Processed Feed with Predictions",
-            # Optional: Set dimensions to match input or your preference
-            height=480, # or None for auto
-            width=640 # or None for auto
+            height=480, 
+            width=640 
         )
 
-    # Connect the video stream directly to the prediction function
-    # The 'stream' event on gr.Video is triggered as new frames arrive from the webcam.
     video_input.stream(
-        predict_live_frames, # The function to call for each frame
-        inputs=video_input,  # Pass the video_input component itself as input
-        outputs=video_output # Update the video_output component
+        predict_live_frames, 
+        inputs=video_input,  
+        outputs=video_output 
     )
 
 demo.launch()