Update app.py

app.py

@@ -24,12 +24,13 @@ LABELS = ['Normal (N)', 'Diabetes (D)', 'Glaucoma (G)', 'Cataract (C)',
           'Pathological Myopia (M)', 'Other diseases/abnormalities (O)']
 
 # Preprocess the image
-def preprocess_image(image, img_size=224):
+def preprocess_image(image, img_size=128):  # Change img_size to 128
     img = cv2.resize(image, (img_size, img_size))
     img = img / 255.0  # Normalize
     img = np.expand_dims(img, axis=0)  # Add batch dimension
     return img
 
+
 # Predict diseases based on left and right images
 def predict_diseases(left_image, right_image, model):
     left_img = preprocess_image(left_image)