Dockerfile

ARG image = nvidia/cuda:11.3.1-runtime-ubuntu20.04
FROM nvidia/cuda:11.3.1-runtime-ubuntu20.04

RUN apt update && \
    apt install -y bash \
                   build-essential \
                   git \
                   curl \
                   ca-certificates \
                   python3 \
                   python3-pip && \
    rm -rf /var/lib/apt/lists

RUN python3 -m pip install --no-cache-dir --upgrade pip && \
    python3 -m pip install --no-cache-dir --extra-index-url https://download.pytorch.org/whl/cu113 \
    torch \
    torchvision \
    torchaudio

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install ffmpeg libsm6 libxext6  -y && rm -rf /var/lib/apt/lists

RUN pip install --no-cache-dir git+https://github.com/bowang-lab/MedSAM.git

# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user

# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH

# Set the working directory to the user's home directory
WORKDIR $HOME/app

# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app

CMD ["streamlit", "run", "app.py"]