runtime error

Exit code: 1. Reason: /usr/local/lib/python3.10/site-packages/sklearn/base.py:442: InconsistentVersionWarning: Trying to unpickle estimator LabelEncoder from version 1.6.1 when using version 1.7.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations warnings.warn( Traceback (most recent call last): File "/home/user/app/app.py", line 13, in <module> model = load_model("animal-sound-cnn.pth", YourCNNModelClass, num_classes=len(labels)) File "/home/user/app/utils.py", line 6, in load_model model.load_state_dict(torch.load(model_path, map_location=torch.device('cpu'))) File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1541, in load return _legacy_load( File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1797, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args) File "/usr/local/lib/python3.10/site-packages/torch/_weights_only_unpickler.py", line 573, in load return Unpickler(file, encoding=encoding).load() File "/usr/local/lib/python3.10/site-packages/torch/_weights_only_unpickler.py", line 474, in load items = self.pop_mark() File "/usr/local/lib/python3.10/site-packages/torch/_weights_only_unpickler.py", line 564, in pop_mark self.stack = self.metastack.pop() IndexError: pop from empty list

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