Dockerfile

# 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

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
#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
#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 CUDA repository to sources.list
#RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg] https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64 /" | tee /etc/apt/sources.list.d/cuda.list
#USER root
#RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg] https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64 /" > /etc/apt/sources.list.d/cuda.list
#RUN gpg --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/7fa2af80.pub
RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg] https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64 /" > /etc/apt/sources.list.d/cuda.list
RUN curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/7fa2af80.pub -o 7fa2af80.pub

RUN gpg --import 7fa2af80.pub
RUN gpg --recv-keys --keyserver keys.gnupg.net F60F4B3D7FA2AF80
#RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/7fa2af80.pub
#RUN apt-key adv --recv-keys --keyserver keys.gnupg.net F60F4B3D7FA2AF80
RUN apt-get update


#RUN echo "deb https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64 /" | sudo tee /etc/apt/sources.list.d/cuda.list
#USER root
#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 && \
RUN   apt-get install -y python3-pip ffmpeg libcublas-dev
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

# Use the official Python 3.9 image as the base image
#FROM python:3.9

# 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 FastAPI application code into the container
COPY ./app.py /app/app.py
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"]