Update app.py

app.py

@@ -20,16 +20,6 @@ def preprocess_image(image_path):
     img1 = cv2.imread(image_path)
     img1 = cv2.resize(img1, (64, 64))  # Resize to 64x64
     img1 = np.asarray(img1)  # Convert to numpy array, shape will be (64, 64, 3)
-    
-    # Add batch dimension to get (1, 64, 64, 3)
-    img1 = img1[np.newaxis, :, :, :]
-    
-    # Verify shape
-    if len(img1.shape) != 4:
-        raise ValueError(f"Expected shape (batch_size, 64, 64, 3), got {img1.shape}")
-    if img1.shape[1:] != (64, 64, 3):
-        raise ValueError(f"Image dimensions should be (64, 64, 3), got {img1.shape[1:]}")
-    
     return img1
 
 # Main app