Update app.py

app.py

@@ -18,7 +18,7 @@ effnetb2, effnetb2_transforms = create_effnetb2_model()
 
 # Load save weights
 effnetb2.load_state_dict(
-    torch.load(data = "09_pretrained_effnetb2_feature_extractor_pizza_steak_sushi_20_percent.pth",
+    torch.load(f = "09_pretrained_effnetb2_feature_extractor_pizza_steak_sushi_20_percent.pth",
                       map_location = torch.device("cpu"))) # Load the model to the CPU))
 
 ### 3. Predict function ###