load model from huggingface hub

my_app.py

@@ -2,10 +2,14 @@ import gradio as gr
 import tensorflow as tf
 import numpy as np
 from PIL import Image
+from huggingface_hub import from_pretrained_keras
+
+
+
 
 # Load your trained models
-model1 = tf.keras.models.load_model('model/FoodVisionFineTuneAug/')
-model2 = tf.keras.models.load_model('model/FoodVisionFineTune/')
+model1 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
+model2 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
 
 with open('classes.txt', 'r') as f:
     classes = [line.strip() for line in f]