Update README.md

README.md

@@ -133,9 +133,14 @@ Then, you can load the model and make a prediction:
 import tensorflow as tf
 import matplotlib.pyplot as plt
 import numpy as np
+import os
+import keras
 
-# Assume the model is saved in a directory named 'food_vision_model'
-loaded_model = tf.keras.models.load_model('food_vision_model')
+# Available backend options are: "jax", "torch", "tensorflow".
+
+os.environ["KERAS_BACKEND"] = "jax"
+	
+loaded_model = keras.saving.load_model("hf://Recompense/FoodVision")
 
 # Define the class names (replace with the actual class names from your training)
 class_names = ['apple_pie', 'baby_back_ribs', 'baklava', 'beef_carpaccio', 'beef_tartare', 'beet_salad', 'beignets', 'bibimbap', 'bread_pudding', 'breakfast_burrito', 'bruschetta', 'buffalo_wings', 'caesar_salad', 'cannoli', 'caprese_salad', 'carrot_cake', 'cheesecake', 'cheese_plate', 'chicken_curry', 'chicken_quesadilla', 'chicken_wings', 'chocolate_cake', 'chocolate_mousse', 'churros', 'clam_chowder', 'club_sandwich', 'crab_cakes', 'creme_brulee', 'croque_madame', 'cup_cakes', 'deviled_eggs', 'donuts', 'dumplings', 'edamame', 'eggs_benedict', 'escargots', 'falafel', 'filet_mignon', 'fish_and_chips', 'foie_gras', 'french_fries', 'french_onion_soup', 'french_toast', 'fried_calamari', 'fried_chicken', 'frozen_yogurt', 'garlic_bread', 'gnocchi', 'greek_salad', 'grilled_cheese_sandwich', 'grilled_salmon', 'guacamole', 'gyros', 'hamburger', 'hot_dog', 'ice_cream', 'lasagna', 'lobster_bisque', 'lobster_roll_sandwich', 'macaroni_and_cheese', 'macarons', 'miso_soup', 'mussels', 'nachos', 'omelette', 'onion_rings', 'oysters', 'pad_thai', 'paella', 'pancakes', 'panna_cotta', 'peking_duck', 'pho', 'pizza', 'pork_chop', 'poutine', 'prime_rib', 'pulled_pork_sandwich', 'ramen', 'ravioli', 'red_velvet_cake', 'risotto', 'samosas', 'sashimi', 'scallops', 'shrimp_scampi', 'smores', 'spaghetti_bolognese', 'spaghetti_carbonara', 'spring_rolls', 'steak', 'strawberry_shortcake', 'sushi', 'tacos', 'takoyaki', 'tiramisu', 'tuna_tartare', 'waffles'] # Example class names