model path update

app.py

@@ -20,7 +20,7 @@ def classify_image(img):
     #initialize the model
     loaded_model = MNISTnet(input_channels=1, num_labels=10, hidden_layers=5).eval()
     #put the state dict values
-    model_state_dict_path = Path("/models/MNISTnet_state_dict.pt")
+    model_state_dict_path = Path("models/MNISTnet_state_dict.pt")
     loaded_model.load_state_dict(torch.load(model_state_dict_path))
     # make the prediction
     with torch.inference_mode():