41 linhas
1.5 KiB
Docker
41 linhas
1.5 KiB
Docker
### Whisper.cpp Container - CPU only
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### High-performance Speech-to-Text using OpenAI's Whisper model
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### Based on whisper.cpp: https://github.com/ggml-org/whisper.cpp
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###
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### BUILD: ./build-container-cpu.sh (compiles locally, CPU-only)
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### THEN: podman build -t whisper:cpu-amd64 -f whisper-cpu.Containerfile .
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### With custom model: podman build --build-arg MODELS="small" -t whisper:cpu-amd64 -f whisper-cpu.Containerfile .
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FROM ubuntu:26.04
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ARG MODELS=small
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USER root
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EXPOSE 8080
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RUN apt-get update \
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&& apt-get install -y curl ffmpeg nano \
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&& apt-get autoremove -y \
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&& apt-get clean -y \
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&& rm -rf /tmp/* /var/tmp/* \
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&& rm -rf /var/lib/apt/lists/* \
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&& find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
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&& find /var/cache -type f -delete
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WORKDIR /app
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# Copy pre-compiled CPU-only binaries
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COPY bin-cpu/ /app/
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RUN chmod +x /app/whisper-*
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# Copy models downloader and entrypoint
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COPY models/download-ggml-model.sh /app/
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COPY entrypoint.sh /app/
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RUN chmod +x /app/download-ggml-model.sh /app/entrypoint.sh
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# Create models directory (will be mounted as volume at runtime)
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RUN mkdir -p /app/models
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# Set environment variables
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ENV PATH=/app:$PATH
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ENV LD_LIBRARY_PATH=/app:/usr/local/lib:/usr/lib:/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
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ENV HF_HUB_ENABLE_HF_TRANSFER=1
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# Whisper model configuration
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# MODELS arg is passed but not used during build (downloaded at runtime)
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ENV WHISPER_MODEL_NAME=${MODELS}
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ENV WHISPER_MODEL_FILE=ggml-${MODELS}.bin
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WORKDIR /app
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ENTRYPOINT ["/app/entrypoint.sh"]
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CMD []
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