runtime error

Exit code: 1. Reason: Transformers. Use `HF_HOME` instead. warnings.warn( There was a problem when trying to write in your cache folder (/app/cache). You should set the environment variable TRANSFORMERS_CACHE to a writable directory. 2025-01-29 07:03:34.969647: I tensorflow/core/util/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`. 2025-01-29 07:03:34.983756: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered WARNING: All log messages before absl::InitializeLog() is called are written to STDERR E0000 00:00:1738134215.000388 1 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered E0000 00:00:1738134215.005201 1 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2025-01-29 07:03:35.022657: I tensorflow/core/platform/cpu_feature_guard.cc:210] 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. /app/matplotlib is not a writable directory Matplotlib created a temporary cache directory at /tmp/matplotlib-f0a4r1q5 because there was an issue with the default path (/app/matplotlib); it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing. Traceback (most recent call last): File "/app/app.py", line 11, in <module> import cv2 ImportError: libgthread-2.0.so.0: cannot open shared object file: No such file or directory

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