runtime error

Exit code: 1. Reason: 4 1 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. I0000 00:00:1782495907.119742 1 cpu_feature_guard.cc:227] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING: All log messages before absl::InitializeLog() is called are written to STDERR I0000 00:00:1782495908.921920 1 port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. I0000 00:00:1782495908.922362 1 cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. /usr/local/lib/python3.13/site-packages/sklearn/base.py:463: InconsistentVersionWarning: Trying to unpickle estimator DecisionTreeClassifier from version 1.6.1 when using version 1.8.0. 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( /usr/local/lib/python3.13/site-packages/sklearn/base.py:463: InconsistentVersionWarning: Trying to unpickle estimator RandomForestClassifier from version 1.6.1 when using version 1.8.0. 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 "/app/app.py", line 23, in <module> scaler = joblib.load("scaler.pkl") File "/usr/local/lib/python3.13/site-packages/joblib/numpy_pickle.py", line 735, in load with open(filename, "rb") as f: ~~~~^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: 'scaler.pkl'

Container logs: