Ryan Malloy
c53db4b251
CPU-only torch image (~180MB vs 873MB CUDA), PipeWire socket passthrough for audio playback, SNAC HuggingFace cache volume. Served at voice.l.supported.systems via caddy-docker-proxy.
42 lines
1.2 KiB
Docker
42 lines
1.2 KiB
Docker
FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
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# PipeWire client tools — pw-play connects to the host's PipeWire socket
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RUN apt-get update && apt-get install -y --no-install-recommends \
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pipewire-bin \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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ENV UV_COMPILE_BYTECODE=1
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# Create venv
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RUN uv venv
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# Install CPU-only torch first (saves ~3GB vs CUDA — SNAC runs on CPU anyway)
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install torch --index-url https://download.pytorch.org/whl/cpu
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# Install project dependencies (torch already satisfied, won't redownload)
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COPY pyproject.toml ./
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --no-deps -r pyproject.toml 2>/dev/null || true
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# Copy source and install project
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COPY src/ src/
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install .
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# Non-root user matching host uid for PipeWire socket access
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RUN useradd -u 1000 -m tts \
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&& mkdir -p /home/tts/.cache/huggingface \
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&& chown -R tts:tts /home/tts/.cache
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USER tts
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ENV PATH="/app/.venv/bin:$PATH"
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EXPOSE 8371
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HEALTHCHECK --interval=30s --timeout=5s --start-period=15s \
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CMD python -c "import socket; s=socket.create_connection(('127.0.0.1',8371),2); s.close()" || exit 1
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CMD ["tts-mcp"]
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