Update app.py

app.py

@@ -9,9 +9,9 @@ from typing import List, Dict, Tuple
 
 class_names = ["pizza", "steak", "sushi"]
 
-effnetb2, effnetb2_transforms = create_effnetb2_model(num_classes=len(class_names))
+effnetb2, effnetb2_transform = create_effnetb2_model(num_classes=len(class_names))
 
-effnetb2.load_state_dict(torch.load(f="pretrained_effnetb2_pizza_steak_sushi_20_percent.pt"),
+effnetb2.load_state_dict(torch.load("pretrained_effnetb2_pizza_steak_sushi_20_percent.pt"),
                          map_location=torch.device("cpu")) # Load model to the CPU
 
 def predict(img) -> Tuple[Dict, float]: