LocalAI/Dockerfile

ARG GO_VERSION=1.21-bullseye
ARG IMAGE_TYPE=extras
# extras or core


FROM golang:$GO_VERSION as requirements-core

ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION=11
ARG CUDA_MINOR_VERSION=7
ARG SPDLOG_VERSION="1.11.0"
ARG PIPER_PHONEMIZE_VERSION='1.0.0'
ARG TARGETARCH
ARG TARGETVARIANT

ENV BUILD_TYPE=${BUILD_TYPE}
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"
ENV GALLERIES='[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]'
ARG GO_TAGS="stablediffusion tts"

RUN apt-get update && \
    apt-get install -y ca-certificates curl patch pip cmake && apt-get clean


COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
RUN update-ca-certificates

# Use the variables in subsequent instructions
RUN echo "Target Architecture: $TARGETARCH"
RUN echo "Target Variant: $TARGETVARIANT"

# CuBLAS requirements
RUN if [ "${BUILD_TYPE}" = "cublas" ]; then \
    apt-get install -y software-properties-common && \
    apt-add-repository contrib && \
    curl -O https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/cuda-keyring_1.0-1_all.deb && \
    dpkg -i cuda-keyring_1.0-1_all.deb && \
    rm -f cuda-keyring_1.0-1_all.deb && \
    apt-get update && \
    apt-get install -y cuda-nvcc-${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}-${CUDA_MINOR_VERSION}  && apt-get clean \
    ; fi
ENV PATH /usr/local/cuda/bin:${PATH}

# OpenBLAS requirements and stable diffusion
RUN apt-get install -y \
    libopenblas-dev \
    libopencv-dev \ 
    && apt-get clean

# Set up OpenCV
RUN ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2

WORKDIR /build

# piper requirements
# Use pre-compiled Piper phonemization library (includes onnxruntime)
#RUN if echo "${GO_TAGS}" | grep -q "tts"; then \
RUN test -n "$TARGETARCH" \
    || (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')

RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSION}.tar.gz" | \
    tar -xzvf - && \
    mkdir -p "spdlog-${SPDLOG_VERSION}/build" && \
    cd "spdlog-${SPDLOG_VERSION}/build" && \
    cmake ..  && \
    make -j8 && \
    cmake --install . --prefix /usr && mkdir -p "lib/Linux-$(uname -m)" && \
    cd /build && \
    mkdir -p "lib/Linux-$(uname -m)/piper_phonemize" && \
    curl -L "https://github.com/rhasspy/piper-phonemize/releases/download/v${PIPER_PHONEMIZE_VERSION}/libpiper_phonemize-${TARGETARCH:-$(go env GOARCH)}${TARGETVARIANT}.tar.gz" | \
    tar -C "lib/Linux-$(uname -m)/piper_phonemize" -xzvf - && ls -liah /build/lib/Linux-$(uname -m)/piper_phonemize/ && \
    cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/lib/. /usr/lib/ && \
    ln -s /usr/lib/libpiper_phonemize.so /usr/lib/libpiper_phonemize.so.1 && \
    cp -rfv /build/lib/Linux-$(uname -m)/piper_phonemize/include/. /usr/include/ && \
    rm spdlog-${SPDLOG_VERSION} -rf

# Extras requirements
FROM requirements-core as requirements-extras

RUN curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
    install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
    gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
    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 && \
    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 && \
    apt-get update && \
    apt-get install -y conda

COPY extra/requirements.txt /build/extra/requirements.txt
ENV PATH="/root/.cargo/bin:${PATH}"
RUN pip install --upgrade pip
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
#RUN if [ "${TARGETARCH}" = "amd64" ]; then \
#        pip install git+https://github.com/suno-ai/bark.git diffusers invisible_watermark transformers accelerate safetensors;\
#    fi
#RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "amd64" ]; then \
#        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;\
 #   fi
#RUN pip install -r /build/extra/requirements.txt && rm -rf /build/extra/requirements.txt

# Vall-e-X
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

# \
#    ; fi

###################################
###################################

FROM requirements-${IMAGE_TYPE} as builder

ARG GO_TAGS="stablediffusion tts"
ARG GRPC_BACKENDS
ARG BUILD_GRPC=true
ENV GRPC_BACKENDS=${GRPC_BACKENDS}
ENV GO_TAGS=${GO_TAGS}
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
ENV NVIDIA_VISIBLE_DEVICES=all

WORKDIR /build

COPY Makefile .
RUN make get-sources
COPY go.mod .
RUN make prepare
COPY . .
COPY .git .

# stablediffusion does not tolerate a newer version of abseil, build it first
RUN GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build

RUN if [ "${BUILD_GRPC}" = "true" ]; then \
    git clone --recurse-submodules -b v1.58.0 --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
    cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
      -DgRPC_BUILD_TESTS=OFF \
       ../.. && make -j12 install && rm -rf grpc \
    ; fi

# Rebuild with defaults backends
RUN ESPEAK_DATA=/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data make build

###################################
###################################

FROM requirements-${IMAGE_TYPE}

ARG FFMPEG
ARG BUILD_TYPE
ARG TARGETARCH
ARG IMAGE_TYPE=extras

ENV BUILD_TYPE=${BUILD_TYPE}
ENV REBUILD=false
ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz

ARG CUDA_MAJOR_VERSION=11
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
ENV NVIDIA_REQUIRE_CUDA="cuda>=${CUDA_MAJOR_VERSION}.0"
ENV NVIDIA_VISIBLE_DEVICES=all

# Add FFmpeg
RUN if [ "${FFMPEG}" = "true" ]; then \
    apt-get install -y ffmpeg \
    ; fi

WORKDIR /build

# we start fresh & re-copy all assets because `make build` does not clean up nicely after itself
# so when `entrypoint.sh` runs `make build` again (which it does by default), the build would fail
# see https://github.com/go-skynet/LocalAI/pull/658#discussion_r1241971626 and
# https://github.com/go-skynet/LocalAI/pull/434
COPY . .
RUN make prepare-sources

# Copy the binary
COPY --from=builder /build/local-ai ./

# do not let stablediffusion rebuild (requires an older version of absl)
COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion

RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
    PATH=$PATH:/opt/conda/bin make prepare-extra-conda-environments \
    ; fi

# Copy VALLE-X as it's not a real "lib"
RUN if [ -d /usr/lib/vall-e-x ]; then \
    cp -rfv /usr/lib/vall-e-x/* ./ ; \ 
    fi

# we also copy exllama libs over to resolve exllama import error
RUN if [ -d /usr/local/lib/python3.9/dist-packages/exllama ]; then \
        cp -rfv /usr/local/lib/python3.9/dist-packages/exllama extra/grpc/exllama/;\
    fi

# Define the health check command
HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
  CMD curl -f $HEALTHCHECK_ENDPOINT || exit 1

EXPOSE 8080
ENTRYPOINT [ "/build/entrypoint.sh" ]