Dockerfile

FROM nvidia/cuda:12.0.0-base-ubuntu20.04
ARG DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV PYTHON_INCLUDE /usr/include/python3.8
ENV PYTHON_LIB /usr/lib/x86_64-linux-gnu/libpython3.8.so

WORKDIR /app
# Install python, git & ffmpeg
RUN apt-get update && apt-get install --no-install-recommends -y \
  build-essential \
  python3.9 \
  python3-pip \
  git \
  ffmpeg \
  && apt-get clean && rm -rf /var/lib/apt/lists/*
COPY ./requirements.txt /app/requirements.txt
COPY ./packages.txt /app/packages.txt
RUN pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
RUN apt-get update && xargs -r -a /app/packages.txt apt-get install -y && rm -rf /var/lib/apt/lists/*
RUN apt-get update && apt-get install -y python3-dev
RUN apt-get update && apt-get install -y build-essential
RUN which python3
RUN which python3-config
RUN pip3 install --no-cache-dir -r /app/requirements.txt
RUN apt-get update && apt-get install -y build-essential
RUN pip3 install --no-cache-dir numba==0.56.3
RUN pip install --upgrade pip setuptools wheel
RUN pip3 install --no-binary :all: pyworld


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

EXPOSE 8501
CMD nvidia-smi -l
CMD streamlit run app.py --server.maxUploadSize 1024 --server.enableWebsocketCompression=false --server.enableXsrfProtection=false