debugging-try different model

my_app.py

@@ -4,9 +4,12 @@ from huggingface_hub import from_pretrained_keras
 from tensorflow.keras import mixed_precision
 
 # Load your trained models
-model1 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
+#model1 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
 #model2 = from_pretrained_keras("ml-debi/EfficientNetB0-Food101")
 
+# Try different keras model
+model1 = from_pretrained_keras("NikiTricky/resnet50-food101")
+
 with open('classes.txt', 'r') as f:
     classes = [line.strip() for line in f]
 
@@ -26,8 +29,9 @@ This model is based on the EfficientNetB0 architecture and was trained on the Fo
 def preprocess(image):
     print("before resize", image.shape)
     image = tf.image.resize(image, [224, 224])
-    
+ 
     image = tf.expand_dims(image, axis=0)
+
     print("After expanddims", image.shape)
     return image