Update model.py

model.py

@@ -112,7 +112,7 @@ class ModelHandler:
         # --- NEW: Enable xFormers ---
         try:
             self.pipeline.enable_xformers_memory_efficient_attention()
-            print("  [OK] xFormmrs memory efficient attention enabled.")
+            print("  [OK] xFormers memory efficient attention enabled.")
         except Exception as e:
             print(f"  [WARNING] Failed to enable xFormers: {e}")
         # --- END NEW ---
@@ -165,15 +165,15 @@ class ModelHandler:
             return None
             
         try:
-            cv2_img = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR) 
+            cv2_img = cv2.cvtColor(np.array(image), cv2.COLOR_RGBBGR) 
             faces = self.app.get(cv2_img)
             
             if len(faces) == 0:
                 return None
                 
             # Sort by size (width * height) to find the main character
-            # --- MODIFIED: Fixed typo x['bbox[0]) -> x['bbox'][0]) ---
-            faces = sorted(faces, key=lambda x: (x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x'bbox'[1]), reverse=True)
+            # --- MODIFIED: Fixed typo ---
+            faces = sorted(faces, key=lambda x: (x['bbox'][2]-x['bbox'][0])*(x['bbox'][3]-x['bbox'][1]), reverse=True)
             # --- END MODIFIED ---
             
             # Return the largest face info