runtime error

Exit code: 1. Reason: 512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2026-06-16 21:18:57.132885: 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`. 2026-06-16 21:18:57.133294: I external/local_xla/xla/tsl/cuda/cudart_stub.cc:31] Could not find cuda drivers on your machine, GPU will not be used. Attempting to load model from: Sharris/age-detection-resnet50-model Downloading best_model.h5... ❌ Failed to download best_model.h5: 401 Client Error. (Request ID: Root=1-6a31a1a3-11b9864161e03aad2f1d31e4;5276bcd5-a206-4c2f-8623-01fb0f0c40ae) Repository Not Found for url: https://huggingface.co/Sharris/age-detection-resnet50-model/resolve/main/best_model.h5. Please make sure you specified the correct `repo_id` and `repo_type`. If you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication Invalid username or password. Trying fallback: downloading entire repository... ❌ Fallback download also failed: 401 Client Error. (Request ID: Root=1-6a31a1a3-2b35e3e0464e19ce5eacb28b;a5be696a-fff1-49e6-9d4c-c1147d53759e) Repository Not Found for url: https://huggingface.co/api/models/Sharris/age-detection-resnet50-model/revision/main. Please make sure you specified the correct `repo_id` and `repo_type`. If you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication Invalid username or password. Traceback (most recent call last): File "/home/user/app/app.py", line 60, in <module> raise RuntimeError( RuntimeError: ❌ Could not load model from Sharris/age-detection-resnet50-model. Please ensure the repository contains a valid model file (best_model.h5, final_model.h5, or model.h5).

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