runtime error

Exit code: 1. Reason: rrors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2025-10-31 09:17:29.162322: 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. 2025-10-31 09:17:30.772642: 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`. 2025-10-31 09:17:30.773052: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. Traceback (most recent call last): File "/home/user/app/app.py", line 7, in <module> model = tf.keras.models.load_model("model.h5") # model.h5 file upload koro File "/usr/local/lib/python3.10/site-packages/keras/src/saving/saving_api.py", line 196, in load_model return legacy_h5_format.load_model_from_hdf5( File "/usr/local/lib/python3.10/site-packages/keras/src/legacy/saving/legacy_h5_format.py", line 118, in load_model_from_hdf5 f = h5py.File(filepath, mode="r") File "/usr/local/lib/python3.10/site-packages/h5py/_hl/files.py", line 566, in __init__ fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr) File "/usr/local/lib/python3.10/site-packages/h5py/_hl/files.py", line 241, in make_fid fid = h5f.open(name, flags, fapl=fapl) File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper File "h5py/h5f.pyx", line 104, in h5py.h5f.open FileNotFoundError: [Errno 2] Unable to synchronously open file (unable to open file: name = 'model.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)

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