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FROM nvidia/cuda:11.7.1-cudnn8-runtime-ubuntu20.04
ENV DEBIAN_FRONTEND=noninteractive
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
RUN apt update && \
apt install -y bash \
build-essential \
git \
git-lfs \
curl \
ca-certificates \
libsndfile1-dev \
python3.8 \
python3-pip \
python3.8-venv && \
rm -rf /var/lib/apt/lists
# make sure to use venv
RUN python3 -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
RUN python3 -m pip install --no-cache-dir --upgrade pip && \
python3 -m pip install --no-cache-dir \
torch \
torchvision \
torchaudio \
--extra-index-url https://download.pytorch.org/whl/cu117 && \
python3 -m pip install --no-cache-dir \
accelerate \
datasets \
hf-doc-builder \
huggingface-hub \
Jinja2 \
librosa \
numpy \
scipy \
tensorboard \
transformers
# Set the working directory to /code
WORKDIR /code
# Copy the current directory contents into the container at /code
COPY ./requirements.txt /code/requirements.txt
# Install requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
COPY . .
RUN mkdir tmpdir
RUN chmod 777 tmpdir
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$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 ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"] |