🤖 Self-hosted, community-driven, local OpenAI-compatible API with Keycloak Auth Flak app as frontend. 🏠
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FlaskAI/Dockerfile

70 lines
1.7 KiB

ARG GO_VERSION=1.20
FROM golang:$GO_VERSION as requirements
ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION=11
ARG CUDA_MINOR_VERSION=7
ENV BUILD_TYPE=${BUILD_TYPE}
RUN apt-get update && \
apt-get install -y ca-certificates cmake curl
# 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}-${CUDA_MINOR_VERSION} \
; fi
ENV PATH /usr/local/cuda/bin:${PATH}
# OpenBLAS requirements
RUN apt-get install -y libopenblas-dev
# Stable Diffusion requirements
RUN apt-get install -y libopencv-dev && \
ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
FROM requirements as builder
ARG GO_TAGS=stablediffusion
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 . .
RUN make build
FROM requirements
ARG FFMPEG
ENV REBUILD=true
ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
# Add FFmpeg
RUN if [ "${FFMPEG}" = "true" ]; then \
apt-get install -y ffmpeg \
; fi
WORKDIR /build
COPY . .
RUN make prepare-sources
COPY --from=builder /build/local-ai ./
# 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" ]