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FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
# Set ARG and ENV for non-interactive installations and Python unbuffered mode
ARG DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
# Install essential system packages and Python 3.8
RUN apt-get update && apt-get install --no-install-recommends -y \
software-properties-common && \
add-apt-repository -y ppa:deadsnakes/ppa && \
apt-get update && apt-get install --no-install-recommends -y \
build-essential \
python3.8 \
python3.8-venv \
python3.8-dev \
python3-pip \
git \
ffmpeg \
libglib2.0-0 && \
apt-get clean && rm -rf /var/lib/apt/lists/*
# Set the working directory
WORKDIR /code
# Copy requirements and install them
COPY ./requirements.txt /code/requirements.txt
# Create a non-root user and switch to it
RUN useradd -m -u 1000 user
USER user
# Set environment variables for the user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONPATH=$HOME/app \
PYTHONUNBUFFERED=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_THEME=huggingface
# Install Python dependencies
RUN pip3 install --no-cache-dir --upgrade pip && \
pip3 install --no-cache-dir --upgrade -r /code/requirements.txt && \
pip3 install --no-cache-dir uvicorn
# Set the application directory for the user
WORKDIR $HOME/app
# Copy the application code to the container
COPY --chown=user . $HOME/app
# Expose the Uvicorn FastAPI port
EXPOSE 7860
# Run the application using the same command as local setup
CMD ["python3.8", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--reload"]
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