saphir / Dockerfile
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fix: cache and tensorflow
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FROM python:3.9
# Set work directory
WORKDIR /code
# Install dependencies
COPY ./requirements.txt /code/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# Copy application code
COPY ./app /code/app
# Create and set permissions for the cache directory
RUN mkdir -p /code/app/cache && chmod -R 777 /code/app/cache
# Set environment variable for Transformers cache
ENV TRANSFORMERS_CACHE=/code/app/cache
# Expose port
EXPOSE 7860
# Start application
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]