def preprocess_image(image_path):
    image = Image.open(image_path).resize((224, 224))
    image = np.array(image) / 255.0
    return np.expand_dims(image, axis=0)

image_path = "example.jpg"
image = preprocess_image(image_path)
prediction = model.predict(image)
predicted_class = class_names[np.argmax(prediction)]
print(f"Predicted Food Item: {predicted_class}")