Dockerfile

# FROM nvidia/cuda:11.3.1-base-ubuntu20.04
FROM ubuntu:20.04

# Remove any third-party apt sources to avoid issues with expiring keys.
RUN rm -f /etc/apt/sources.list.d/*.list

# Install some basic utilities
RUN apt-get update && apt-get install -y \
    curl ca-certificates sudo git bzip2 libx11-6 && \
    rm -rf /var/lib/apt/lists/*

# Create a working directory
RUN mkdir /app
WORKDIR /app

# Create a non-root user and switch to it
RUN adduser --disabled-password --gecos '' --shell /bin/bash user && \
    chown -R user:user /app

RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
USER root

# All users can use /home/user as their home directory
ENV HOME=/home/user
RUN mkdir $HOME/.cache $HOME/.config && \
    chmod -R 777 $HOME

# Set up the Conda environment
ENV CONDA_AUTO_UPDATE_CONDA=false \
    PATH=$HOME/miniconda/bin:$PATH

RUN curl -sLo ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-py39_4.10.3-Linux-x86_64.sh && \
    chmod +x ~/miniconda.sh && \
    ~/miniconda.sh -b -p ~/miniconda && \
    rm ~/miniconda.sh && \
    conda clean -ya

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

RUN conda install -c conda-forge -y jupyterlab

# RUN pip install --no-cache-dir fire gradio datasets huggingface_hub

# Install user requirements
COPY ./requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt

WORKDIR $HOME/app

# USER root

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

RUN chmod +x start_server.sh

EXPOSE 7860
CMD ["./start_server.sh"]