Kayos
d1631ddffe
The python FastAPI sidecars have lived ad-hoc at /mnt/cache/appdata/ <engine>/build/ on Lucy without version control. Bringing them into the skald repo so the engine code travels with the cross-engine routing it depends on. This commit lands the VANILLA version of each engine on main: engines/f5-tts/ SWivid F5-TTS (CC-BY-NC weights flagged) engines/kokoro/ hexgrad Kokoro-82M (Apache 2.0 top to bottom) engines/tortoise/ neonbjb Tortoise-TTS (Apache 2.0 top to bottom) Engine-specific kludges (question doubling, GPU coordination, pause-duration tuning) get layered on engine/* branches per the README. Main stays the safe-to-read baseline.
35 lines
1.1 KiB
Docker
35 lines
1.1 KiB
Docker
# Sulkta build of Kokoro-82M TTS.
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#
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# License: Apache 2.0 (code AND model weights). Clean stack — no
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# CC-BY-NC asterisk like F5-TTS's Emilia weights. This is the
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# narrator engine for sleep-quality audiobook reads; F5-TTS stays
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# around for voice-cloning cases.
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#
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# Kokoro is small enough to run on CPU but we use the cuda base
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# anyway to stay consistent with f5-tts and so it'll pick up the
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# GPU when no other tenant has it.
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FROM pytorch/pytorch:2.6.0-cuda12.4-cudnn9-runtime
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ENV DEBIAN_FRONTEND=noninteractive \
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PYTHONUNBUFFERED=1 \
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HF_HOME=/cache/hf \
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HF_HUB_DISABLE_TELEMETRY=1
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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espeak-ng \
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ca-certificates \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# kokoro pulls phonemizer + soundfile + espeakng transitively.
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RUN pip install --no-cache-dir 'kokoro>=0.9.0' 'fastapi>=0.115.0' 'uvicorn>=0.32.0' 'soundfile>=0.13.0'
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RUN mkdir -p /cache/hf /audio
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COPY kokoro_server.py /app/kokoro_server.py
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WORKDIR /app
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EXPOSE 7860
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CMD ["uvicorn", "kokoro_server:app", "--host", "0.0.0.0", "--port", "7860"]
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