Create Dockerfile
Browse files- Dockerfile +29 -0
Dockerfile
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# Base image
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FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7
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# Set working directory
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WORKDIR /app
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# Create a writable directory for the cache
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RUN mkdir -p /.cache/huggingface/hub && chmod -R 777 /.cache
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# Set the TRANSFORMERS_CACHE environment variable
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ENV TRANSFORMERS_CACHE /.cache/huggingface/hub
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# Copy the API files to the container
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COPY main.py .
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COPY gbc.pkl .
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COPY scaler.pkl .
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# Upgrade pip
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RUN /usr/local/bin/python -m pip install --upgrade pip
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# Install dependencies
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RUN pip install --no-cache-dir fastapi pydantic uvicorn scikit-learn joblib pandas numpy
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# Expose the API port
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EXPOSE 7860
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# Start the API
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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#CMD ["uvicorn", "main:app", "--host", "127.0.0.1", "--port", "8000"]
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