Dockerfile

# Use an NVIDIA CUDA base image with CUDA 11.8 and Ubuntu 20.04
FROM mhamilton723/featup:latest

# Set a working directory
WORKDIR /app

RUN git clone https://github.com/mhamilton723/DenseAV &&\
  cd DenseAV &&\
  echo "foo2" &&\
  pip3 install -e . &&\
  pip3 install gradio

# Copy your application files into the container
COPY . /app

# Expose the port Streamlit will run on
EXPOSE 7860

RUN mkdir -m 700 flagged

ENV PYTHONUNBUFFERED=1 \
	GRADIO_ALLOW_FLAGGING=never \
	GRADIO_NUM_PORTS=1 \
	GRADIO_SERVER_NAME=0.0.0.0 \
	SYSTEM=spaces


RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
	PATH=/home/user/.local/bin:$PATH

WORKDIR $HOME/app

COPY --chown=user . $HOME/app


# Set the command to run your Streamlit app
CMD ["python3", "app.py"]