Update prediction.py

prediction.py

@@ -20,15 +20,15 @@ def preprocess_input_image(img_path):
     x /= 255.
     return x, img1
 
-main_path= 'D:\\tugas_andrew_DS\\phase_2\\m2\\food'
+dataset = load_dataset('andrewsunanda/fast_food_image_classification')
     
 # Define batch size and image size
 batch_size = 256
 img_size = (64, 64)
 # Define paths to the data folders
-train_path = os.path.join(main_path, 'Train')
-valid_path = os.path.join(main_path, 'Valid')
-test_path = os.path.join(main_path, 'Test')
+train_path = dataset['train'].features['filepath']
+valid_path = dataset['validation'].features['filepath']
+test_path = dataset['test'].features['filepath']
 
 # Create data generators for training, validation, and testing
 train_datagen = ImageDataGenerator(