LibreTranslate/docker/Dockerfile.cuda

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FROM nvidia/cuda:11.2.2-devel-ubuntu20.04
ENV ARGOS_DEVICE_TYPE cuda
ARG with_models=true
ARG models=
WORKDIR /app
ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get update -qq \
&& apt-get -qqq install --no-install-recommends -y libicu-dev libaspell-dev libcairo2 libcairo2-dev pkg-config gcc g++ python3.8-dev python3-pip libpython3.8-dev\
&& apt-get clean \
&& rm -rf /var/lib/apt
RUN apt-get update && apt-get upgrade --assume-yes
RUN pip3 install --upgrade pip && apt-get remove python3-pip --assume-yes
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RUN ln -s /usr/bin/python3 /usr/bin/python
RUN pip3 install torch==1.12.0+cu116 -f https://download.pytorch.org/whl/torch_stable.html
COPY . .
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RUN if [ "$with_models" = "true" ]; then \
# install only the dependencies first
pip3 install -e .; \
# initialize the language models
if [ ! -z "$models" ]; then \
./install_models.py --load_only_lang_codes "$models"; \
else \
./install_models.py; \
fi \
fi
# Install package from source code
RUN pip3 install Babel==2.11.0 && python3 compile_locales.py \
&& pip3 install . \
&& pip3 cache purge
# Depending on your cuda install you may need to uncomment this line to allow the container to access the cuda libraries
# See: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions
# ENV LD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda/lib64
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EXPOSE 5000
ENTRYPOINT [ "libretranslate", "--host", "0.0.0.0" ]