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977740045a
* Use multi stage build to slim down ML image size * Use gunicorn as WSGI server in ML image * Configure gunicorn server for ML use case * Use requirements.txt file to install python dependencies in ML image * Make ML listen IP configurable
644 B
644 B
certifi==2022.12.7 charset-normalizer==3.0.1 click==8.1.3 filelock==3.9.0 Flask==2.2.3 gunicorn==20.1.0 huggingface-hub==0.12.1 idna==3.4 importlib-metadata==6.0.0 itsdangerous==2.1.2 Jinja2==3.1.2 joblib==1.2.0 MarkupSafe==2.1.2 nltk==3.8.1 numpy==1.24.2 packaging==23.0 Pillow==9.4.0 PyYAML==6.0 regex==2022.10.31 requests==2.28.2 scikit-learn==1.2.1 scipy==1.10.1 sentence-transformers==2.2.2 sentencepiece==0.1.97 threadpoolctl==3.1.0 tokenizers==0.13.2 torch==1.13.1 -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html tqdm==4.64.1 transformers==4.26.1 typing-extensions==4.5.0 urllib3==1.26.14 Werkzeug==2.2.3 zipp==3.15.0