mirror of
https://github.com/LibreTranslate/LibreTranslate.git
synced 2024-11-15 04:00:11 +01:00
46 lines
1.5 KiB
Docker
46 lines
1.5 KiB
Docker
FROM nvidia/cuda:12.4.1-devel-ubuntu20.04
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ENV ARGOS_DEVICE_TYPE cuda
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ARG with_models=false
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ARG models=""
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WORKDIR /app
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ARG DEBIAN_FRONTEND=noninteractive
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RUN apt-get update -qq \
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&& 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\
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&& apt-get upgrade --assume-yes \
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&& apt-get clean \
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&& rm -rf /var/lib/apt
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RUN pip3 install --no-cache-dir --upgrade pip && apt-get remove python3-pip --assume-yes
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RUN ln -s /usr/bin/python3 /usr/bin/python
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RUN pip3 install --no-cache-dir torch==1.12.0+cu116 -f https://download.pytorch.org/whl/torch_stable.html
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COPY . .
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RUN if [ "$with_models" = "true" ]; then \
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# install only the dependencies first
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pip3 install --no-cache-dir -e .; \
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# initialize the language models
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if [ ! -z "$models" ]; then \
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./scripts/install_models.py --load_only_lang_codes "$models"; \
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else \
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./scripts/install_models.py; \
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fi \
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fi
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# Install package from source code
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RUN pip3 install Babel==2.12.1 && python3 scripts/compile_locales.py \
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&& pip3 install . \
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&& pip3 cache purge
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# Depending on your cuda install you may need to uncomment this line to allow the container to access the cuda libraries
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# See: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions
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# ENV LD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda/lib64
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EXPOSE 5000
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ENTRYPOINT [ "libretranslate", "--host", "*" ]
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