Update app.py

app.py

@@ -34,7 +34,7 @@ def predict_image(input_img_pil):
     """
     if model is None:
         # Placeholder behavior if model loading failed
-        return {"Error": 1.0}
+        return {"Error ********": 1.0}
 
     # 1. Preprocessing: Resize and convert to NumPy array
     img_resized = input_img_pil.resize(IMAGE_SIZE)