removed examples from app.py

app.py

@@ -21,7 +21,7 @@ def classify_image(img):
     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")
-    loaded_model.load_state_dict(torch.load(model_state_dict_path / "MNISTnet_state_dict.pt"))
+    loaded_model.load_state_dict(torch.load(model_state_dict_path))
     # make the prediction
     with torch.inference_mode():
         predicted_idx = loaded_model(model_input_tensor_image).argmax(dim=1)