Ryan Malloy
27b4c4ae29
generate_audio gains output_path + format params (wav, mp3, ogg, flac, m4a). Non-wav formats route through ffmpeg (added to the Dockerfile). Files land under /output/ inside the container, bind-mounted from the host's TTS_OUTPUT_HOST_DIR (defaults to ~/mcspeak-out). Subdirectories are auto-created. Path validation rejects writes outside /output/ — both absolute escapes like /etc/passwd and traversal forms like ../../etc/passwd are canonicalized and checked against the mount root. Extension auto-corrects to match the requested format. piper-tts service added to compose using rhasspy/wyoming-piper. Default voice es_MX-ald-medium is pre-warmed at container start and persists in ./piper-data/ across recreates (~60 MB download on first run). Port 10200 published to localhost so host-side scripts can also reach Wyoming directly; mcspeak inside the stack uses container DNS. Voice configurable via TTS_PIPER_VOICE — the same env var threads through to both wyoming-piper's --voice flag and mcspeak's settings.piper_voice, so they stay in sync. PiperEngine.__init__ accepts a default_voice override; settings.piper_voice threads it from the env. list_engines now reports the configured default rather than the hardcoded en_US-lessac-medium. speak() / generate_audio() calls with engine=piper and no explicit voice use the configured one. mcspeak-internal network changed from internal:true to default-bridge. internal:true was overkill — the goal was per-stack DNS scoping (which compose provides automatically via the project-prefixed network name), not internet isolation. The latter broke piper-tts's HuggingFace voice download with "Name resolution failure" on first start. .gitignore: add piper-data/ so the downloaded voice models stay out of the repo.
46 lines
1.5 KiB
Docker
46 lines
1.5 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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# pulseaudio-utils provides pactl for media ducking (volume control via PulseAudio compat)
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# ffmpeg handles WAV→{mp3,ogg,flac,m4a} conversion for generate_audio's format param
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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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pulseaudio-utils \
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ffmpeg \
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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 /data \
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&& chown -R tts:tts /home/tts/.cache /data
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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 ["mcspeak"]
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