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# Stage 1: Build stage (installs docker)
FROM python:3.9.13 AS builder
RUN apt-get update && apt-get install -y \
docker-ce \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# Clear build cache
RUN docker builder prune -f
FROM python:3.9.13
USER root
RUN apt-get update && \
apt-get install -y \
libgl1-mesa-glx \
ffmpeg \
redis-server \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
NUMBA_CACHE_DIR=/tmp/numba_cache
WORKDIR $HOME/app
COPY --chown=user . $HOME/app
RUN chmod +x scripts/download_models.sh
RUN bash scripts/download_models.sh
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# CMD ["gunicorn", "-b", "0.0.0.0:7860","app:app"]
# CMD ["gunicorn", "-b", "0.0.0.0:7860", "--timeout", "180", "app:app"]
# CMD ["gunicorn", "-b", "0.0.0.0:7860", "--workers", "3", "--timeout", "300", "--worker-class", "gevent", "app:app"]
# CMD ["bash", "-c", "redis-server & celery -A app_celery.celery worker --loglevel=info --pool=gevent & gunicorn -b 0.0.0.0:7860 --workers 3 --timeout 300 app_celery:app"]
CMD ["bash", "-c", "redis-server & celery -A app_celery.celery worker --loglevel=info --pool=gevent & gunicorn -b 0.0.0.0:7860 --workers 3 --worker-class gevent --timeout 300 app_celery:app"]
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