mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-18 20:27:57 +00:00
220 lines
8.6 KiB
Docker
220 lines
8.6 KiB
Docker
ARG GO_VERSION=1.21-bullseye
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ARG IMAGE_TYPE=extras
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# extras or core
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FROM golang:$GO_VERSION as requirements-core
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ARG BUILD_TYPE
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ARG CUDA_MAJOR_VERSION=11
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ARG CUDA_MINOR_VERSION=7
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ARG SPDLOG_VERSION="1.11.0"
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ARG PIPER_PHONEMIZE_VERSION='1.0.0'
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ARG TARGETARCH
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ARG TARGETVARIANT
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ENV BUILD_TYPE=${BUILD_TYPE}
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ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/run.sh,autogptq:/build/extra/grpc/autogptq/run.sh,bark:/build/extra/grpc/bark/run.sh,diffusers:/build/extra/grpc/diffusers/run.sh,exllama:/build/extra/grpc/exllama/run.sh,vall-e-x:/build/extra/grpc/vall-e-x/run.sh,vllm:/build/extra/grpc/vllm/run.sh"
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ENV GALLERIES='[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]'
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ARG GO_TAGS="stablediffusion tts"
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RUN apt-get update && \
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apt-get install -y ca-certificates curl patch pip cmake && apt-get clean
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COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
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RUN update-ca-certificates
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# Use the variables in subsequent instructions
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RUN echo "Target Architecture: $TARGETARCH"
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RUN echo "Target Variant: $TARGETVARIANT"
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# CuBLAS requirements
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RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
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apt-get install -y software-properties-common && \
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apt-add-repository contrib && \
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curl -O https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.0-1_all.deb && \
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dpkg -i cuda-keyring_1.0-1_all.deb && \
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rm -f cuda-keyring_1.0-1_all.deb && \
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apt-get update && \
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apt-get install -y cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && apt-get clean \
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; fi
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ENV PATH /usr/local/cuda/bin:${PATH}
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# OpenBLAS requirements and stable diffusion
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RUN apt-get install -y \
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libopenblas-dev \
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libopencv-dev \
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&& apt-get clean
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# Set up OpenCV
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RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
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WORKDIR /build
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# piper requirements
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# Use pre-compiled Piper phonemization library (includes onnxruntime)
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#RUN if echo "${GO_TAGS}" | grep -q "tts"; then \
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RUN test -n "$TARGETARCH" \
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|| (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
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RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz" | \
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tar -xzvf - && \
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mkdir -p "spdlog-${SPDLOG_VERSION}/build" && \
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cd "spdlog-${SPDLOG_VERSION}/build" && \
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cmake .. && \
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make -j8 && \
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cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" && \
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cd /build && \
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mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
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curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz" | \
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tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
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cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
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ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
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cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/ && \
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rm spdlog-${SPDLOG_VERSION} -rf
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# Extras requirements
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FROM requirements-core as requirements-extras
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RUN curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
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install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
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gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
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echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list && \
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echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list && \
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apt-get update && \
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apt-get install -y conda
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COPY extra/requirements.txt /build/extra/requirements.txt
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ENV PATH="/root/.cargo/bin:${PATH}"
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RUN pip install --upgrade pip
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RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
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#RUN if [ "${TARGETARCH}" = "amd64" ]; then \
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# pip install git+https://github.com/suno-ai/bark.git diffusers invisible_watermark transformers accelerate safetensors;\
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# fi
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#RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "amd64" ]; then \
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# pip install torch vllm && pip install auto-gptq https://github.com/jllllll/exllama/releases/download/0.0.10/exllama-0.0.10+cu${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}-cp39-cp39-linux_x86_64.whl;\
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# fi
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#RUN pip install -r /build/extra/requirements.txt && rm -rf /build/extra/requirements.txt
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# Vall-e-X
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RUN git clone https://github.com/Plachtaa/VALL-E-X.git /usr/lib/vall-e-x && cd /usr/lib/vall-e-x && pip install -r requirements.txt
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# \
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# ; fi
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###################################
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###################################
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FROM requirements-${IMAGE_TYPE} as builder
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ARG GO_TAGS="stablediffusion tts"
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ARG GRPC_BACKENDS
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ARG BUILD_GRPC=true
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ENV GRPC_BACKENDS=${GRPC_BACKENDS}
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ENV GO_TAGS=${GO_TAGS}
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
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ENV NVIDIA_VISIBLE_DEVICES=all
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WORKDIR /build
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COPY Makefile .
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RUN make get-sources
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COPY go.mod .
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RUN make prepare
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COPY . .
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COPY .git .
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# stablediffusion does not tolerate a newer version of abseil, build it first
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RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
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RUN if [ "${BUILD_GRPC}" = "true" ]; then \
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git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
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cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
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-DgRPC_BUILD_TESTS=OFF \
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../.. && make -j12 install && rm -rf grpc \
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; fi
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# Rebuild with defaults backends
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RUN ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build
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###################################
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###################################
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FROM requirements-${IMAGE_TYPE}
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ARG FFMPEG
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ARG BUILD_TYPE
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ARG TARGETARCH
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ARG IMAGE_TYPE=extras
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ENV BUILD_TYPE=${BUILD_TYPE}
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ENV REBUILD=false
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ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
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ARG CUDA_MAJOR_VERSION=11
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ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
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ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
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ENV NVIDIA_VISIBLE_DEVICES=all
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# Add FFmpeg
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RUN if [ "${FFMPEG}" = "true" ]; then \
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apt-get install -y ffmpeg \
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; fi
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WORKDIR /build
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# we start fresh & re-copy all assets because `make build` does not clean up nicely after itself
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# so when `entrypoint.sh` runs `make build` again (which it does by default), the build would fail
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# see https://github.com/go-skynet/LocalAI/pull/658#discussion_r1241971626 and
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# https://github.com/go-skynet/LocalAI/pull/434
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COPY . .
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RUN make prepare-sources
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# Copy the binary
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COPY --from=builder /build/local-ai ./
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# do not let stablediffusion rebuild (requires an older version of absl)
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COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
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## Duplicated from Makefile to avoid having a big layer that's hard to push
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/autogptq \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/bark \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/diffusers \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/vllm \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/huggingface \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/vall-e-x \
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; fi
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RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
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PATH=$PATH:/opt/conda/bin make -C extra/grpc/exllama \
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; fi
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# Copy VALLE-X as it's not a real "lib"
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RUN if [ -d /usr/lib/vall-e-x ]; then \
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cp -rfv /usr/lib/vall-e-x/* ./ ; \
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fi
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# we also copy exllama libs over to resolve exllama import error
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RUN if [ -d /usr/local/lib/python3.9/dist-packages/exllama ]; then \
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cp -rfv /usr/local/lib/python3.9/dist-packages/exllama extra/grpc/exllama/;\
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fi
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# Define the health check command
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HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
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CMD curl -f $HEALTHCHECK_ENDPOINT || exit 1
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EXPOSE 8080
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ENTRYPOINT [ "/build/entrypoint.sh" ]
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