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68 lines
1.8 KiB
Docker
68 lines
1.8 KiB
Docker
# Stage 1: build whisper.cpp (no model download – the app handles that)
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FROM alpine:3.23 AS whisper-builder
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RUN apk add --no-cache git cmake build-base
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WORKDIR /opt
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ARG TARGETARCH
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RUN git clone --depth 1 https://github.com/ggml-org/whisper.cpp.git && \
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cd whisper.cpp && \
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cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=OFF $( [ "$TARGETARCH" = "arm64" ] && echo "-DGGML_CPU_ARM_ARCH=armv8-a" || true ) && \
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cmake --build build -j
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# Stage 2: build the Next.js app
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FROM node:lts-alpine AS app-builder
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# Install pnpm globally
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RUN npm install -g pnpm
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# Create app directory
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WORKDIR /app
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# Copy package files
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COPY package.json pnpm-lock.yaml ./
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# Install dependencies
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RUN pnpm install --frozen-lockfile
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# Copy project files
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COPY . .
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# Build the Next.js application
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RUN pnpm exec next telemetry disable
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RUN pnpm build
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# Stage 3: minimal runtime image
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FROM node:lts-alpine AS runner
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# Add runtime OS dependencies:
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# - ffmpeg: required for audiobook export and word-by-word alignment (/api/whisper)
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# - libreoffice-writer: required for DOCX → PDF conversion
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RUN apk add --no-cache ffmpeg libreoffice-writer
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# Install pnpm globally for running the app
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RUN npm install -g pnpm
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# App runtime directory
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WORKDIR /app
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# Copy built app and dependencies from the builder stage
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COPY --from=app-builder /app ./
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# Copy the compiled whisper.cpp build output into the runtime image
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# (includes whisper-cli and its shared libraries, e.g. libwhisper.so, libggml.so)
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COPY --from=whisper-builder /opt/whisper.cpp/build /opt/whisper.cpp/build
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# Point the app at the compiled whisper-cli binary and ensure its libs are discoverable
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ENV WHISPER_CPP_BIN=/opt/whisper.cpp/build/bin/whisper-cli
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ENV LD_LIBRARY_PATH=/opt/whisper.cpp/build
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# Expose the port the app runs on
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EXPOSE 3003
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# Start the application
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CMD ["pnpm", "start"]
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