# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker | |
# you will also find guides on how best to write your Dockerfile | |
FROM debian:bullseye-slim | |
ENV NVIDIA_VISIBLE_DEVICES all | |
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility | |
ENV NVIDIA_REQUIRE_CUDA "cuda>=8.0" | |
ENV LD_LIBRARY_PATH=/usr/local/cuda-11.8/targets/x86_64-linux/lib:/usr/local/cuda-11.8/targets/x86_64-linux/include:/usr/local/cuda/include:/usr/local/cuda-11.8:/usr/local/cuda/lib:/usr/local/cuda/lib64:$LD_LIBRARY_PATH | |
#RUN dpkg --add-architecture amd64 | |
#RUN apt-get update && \ | |
# apt-get install -y --no-install-recommends gnupg2 curl ca-certificates | |
#RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/7fa2af80.pub | |
# Import the NVIDIA GPG key | |
#RUN apt-get update && apt-get install -y gnupg2 curl | |
# Fetch the NVIDIA repository GPG key | |
#RUN curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/7fa2af80.pub | gpg --dearmor -o /usr/share/keyrings/cuda-archive-keyring.gpg | |
# Add the NVIDIA repository to the APT sources list | |
#RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub | |
#RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub | |
#RUN echo "deb https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64 /" > /etc/apt/sources.list.d/cuda.list | |
# Install FFmpeg | |
RUN apt-get update && \ | |
apt-get install -y python3-pip ffmpeg | |
#libcublas-11-8 libcudnn8=8.6.0.163-1+cuda11.8 | |
#libcudnn8=8.8.0.121-1+cuda11.8 | |
# Set the working directory to /code | |
WORKDIR /app | |
# Copy the requirements file into the container at /code/ | |
#COPY ./requirements.txt /app/requirements.txt | |
# Copy the FastAP application code into the container | |
COPY . /app | |
#COPY ./interface.html /app/interface.html | |
#COPY ./styles.css /app/styles.css | |
# Install the required Python packages from requirements.txt | |
RUN pip install --no-cache-dir --upgrade -r requirements.txt | |
# Create a non-root user (optional but recommended for security) | |
RUN useradd -m -u 1000 user | |
# Switch to the non-root user | |
USER user | |
# Define environment variables | |
ENV HOME=/home/user \ | |
PATH=/home/user/.local/bin:$PATH | |
# Change the working directory to /home/user/app | |
WORKDIR $HOME/app | |
# Copy the rest of the application files into the container | |
COPY --chown=user . $HOME/app | |
# Expose port 80 for the FastAPI application | |
EXPOSE 7860 | |
# Specify the command to run your application (modify as needed) | |
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] | |