- Switch default TTS engine from Piper to Qwen3-TTS (1.7B params) - Upgrade to Python 3.12 - Add docker-compose.cpu.yml for CPU-only deployments - Improve GPU configuration with NVIDIA environment variables - Comment out optional engines (Piper, XTTS, Silero, Kokoro) in requirements - Update Makefile with local/local-cpu targets and venv support - Simplify voice_to_speaker.default.yaml for Qwen3-TTS voices - Update docs/MODELS.md with Qwen3-TTS documentation - Add git commit guidelines to CLAUDE.md
18 lines
430 B
YAML
18 lines
430 B
YAML
# CPU-only configuration (no GPU)
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# Use this if you don't have an NVIDIA GPU
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# Note: Qwen3-TTS is ~10x slower on CPU
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services:
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server:
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build:
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dockerfile: Dockerfile
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image: uncloseai-speech:local
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env_file: speech.env
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ports:
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- "8000:8000"
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volumes:
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- ./voices:/app/voices
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- ./config:/app/config
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environment:
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- CUDA_VISIBLE_DEVICES= # Disable CUDA
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restart: unless-stopped
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