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Dockerfile.transcribe
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63 lines (49 loc) · 1.71 KB
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FROM node:24-bookworm
RUN apt-get update \
&& apt-get install -y \
ca-certificates curl wget unzip \
python3 tini \
&& rm -rf /var/lib/apt/lists/*
ENV NODE_ENV=production
RUN corepack enable
# Download llama.cpp binary
WORKDIR /opt/llama
RUN wget -q https://github.com/ggml-org/llama.cpp/releases/download/b5449/llama-b5449-bin-ubuntu-x64.zip \
&& unzip llama-b5449-bin-ubuntu-x64.zip \
&& rm llama-b5449-bin-ubuntu-x64.zip \
&& chmod +x /opt/llama/build/bin/llama-mtmd-cli
# Create non-root user for security
RUN groupadd -r transcribe && useradd -r -g transcribe -m transcribe
WORKDIR /app
COPY .yarn/releases ./.yarn/releases
COPY .yarn/patches ./.yarn/patches
COPY package.json .
COPY .yarnrc.yml .
COPY yarn.lock .
COPY gulpfile.js .
COPY tsconfig.json .
COPY packages/lib ./packages/lib
COPY packages/utils ./packages/utils
COPY packages/tools ./packages/tools
COPY packages/renderer ./packages/renderer
COPY packages/htmlpack ./packages/htmlpack
COPY packages/transcribe ./packages/transcribe
# We don't want to build onenote-converter since it is not used by the server
RUN sed --in-place '/onenote-converter/d' ./packages/lib/package.json
RUN BUILD_SEQUENCIAL=1 yarn install --inline-builds \
&& yarn cache clean \
&& rm -rf .yarn/berry
# Create data directory and set permissions
RUN mkdir -p /data/images \
&& chown -R transcribe:transcribe /data
WORKDIR /app/packages/transcribe
# Switch to non-root user
USER transcribe
# Set environment variables
ENV HTR_CLI_BINARY_PATH=/opt/llama/build/bin/llama-mtmd-cli
ENV LD_LIBRARY_PATH=/opt/llama/build/bin
ENV DATA_DIR=/data
ENV QUEUE_DRIVER=sqlite
# Start the Node.js application
ENTRYPOINT ["/usr/bin/tini", "--"]
CMD ["yarn", "start"]