Dockerfile

FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
FROM python:3.8.8


ARG DEBIAN_FRONTEND=noninteractive

ENV PYTHONUNBUFFERED=1

RUN apt-get update && apt-get install --no-install-recommends -y \
  build-essential \
  python3-pip \
  git \
  portaudio19-dev \
  ffmpeg \
  && apt-get clean && rm -rf /var/lib/apt/lists/*

WORKDIR /code

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

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

ENV CUDA_HOME=/home/user/local/cuda-11.3.1
# Set home to the user's home directory
ENV HOME=/home/user \
	PATH=/home/user/.local/bin:$PATH \
    PYTHONPATH=$HOME/app \
	PYTHONUNBUFFERED=1 \
	GRADIO_ALLOW_FLAGGING=never \
	GRADIO_NUM_PORTS=1 \
	GRADIO_SERVER_NAME=0.0.0.0 \
	GRADIO_THEME=huggingface \
	SYSTEM=spaces



RUN pip3 install --no-cache-dir -U torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113
RUN pip3 install --no-cache-dir --upgrade -r /code/requirements.txt
RUN pip3 install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu113_pyt1121/download.html
RUN pip3 install tensorflow-gpu==2.8.1

WORKDIR /code
RUN pip3 install ./freqencoder
RUN pip3 install ./shencoder
RUN pip3 install ./gridencoder
RUN pip3 install ./raymarching
# 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 ["python3", "app.py"]