Ryan Malloy
eaff3e8861
Each project gets a distinct voice from a curated English pool, assigned via round-robin with gender/accent interleaving for maximum perceptual contrast between consecutive projects. - New voice_identity.py: pool filtering, interleaving, persistence - Round-robin replaces SHA-256 hashing (no collisions until pool exhaustion at 22 voices) - Assignments persist to /data/voice-assignments.json across restarts - speak() and generate_audio() accept optional project= parameter - MCP roots fallback with 2s timeout for future bidirectional clients - English-only pool (af_/am_/bf_/bm_/ef_/em_ prefixes) - af_nicole excluded from auto-assign (whispery), still explicit-ok - Fix voice blacklist to use full identifiers (am_adam, af_jessica)
42 lines
1.3 KiB
Docker
42 lines
1.3 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 /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 ["tts-mcp"]
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