Update app.py

app.py

@@ -102,7 +102,7 @@ def dominant_color_descriptor(image, k=3):
     pixels = image.reshape(-1, 3)
     
     criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100, 0.2)
-flags = cv2.KMEANS_RANDOM_CENTERS
+    flags = cv2.KMEANS_RANDOM_CENTERS
     
     try:
         _, labels, centers = cv2.kmeans(pixels.astype(np.float32), k, None, criteria, 10, flags)
@@ -187,7 +187,7 @@ def preprocess_image(image):
     # # Convert to RGB if needed
     # if image.mode != 'RGB':
     #     image = image.convert('RGB')
-# Convert to numpy array
+    # Convert to numpy array
     img_array = np.array(image)
     
     # # Convert to RGB if needed