mirror of
https://github.com/remsky/Kokoro-FastAPI.git
synced 2025-04-13 09:39:17 +00:00

-alignment with streaming standards -audio processing config settings -more comprehensive model warmup -minor model improvements -enhancing testing, benchmarking -cool ascii logo
61 lines
1.6 KiB
YAML
61 lines
1.6 KiB
YAML
services:
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model-fetcher:
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image: datamachines/git-lfs:latest
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volumes:
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- ./Kokoro-82M:/app/Kokoro-82M
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working_dir: /app/Kokoro-82M
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command: >
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sh -c "
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rm -f .git/index.lock;
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if [ -z \"$(ls -A .)\" ]; then
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git clone https://huggingface.co/hexgrad/Kokoro-82M .
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touch .cloned;
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else
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rm -f .git/index.lock && \
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git checkout main && \
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git pull origin main && \
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touch .cloned;
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fi;
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tail -f /dev/null
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"
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healthcheck:
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test: ["CMD", "test", "-f", ".cloned"]
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interval: 5s
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timeout: 2s
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retries: 300
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start_period: 1s
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kokoro-tts:
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build:
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context: .
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dockerfile: Dockerfile.cpu
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volumes:
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- ./api/src:/app/api/src
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- ./Kokoro-82M:/app/Kokoro-82M
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ports:
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- "8880:8880"
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environment:
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- PYTHONPATH=/app:/app/Kokoro-82M
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# ONNX Optimization Settings for vectorized operations
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- ONNX_NUM_THREADS=8 # Maximize core usage for vectorized ops
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- ONNX_INTER_OP_THREADS=4 # Higher inter-op for parallel matrix operations
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- ONNX_EXECUTION_MODE=parallel
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- ONNX_OPTIMIZATION_LEVEL=all
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- ONNX_MEMORY_PATTERN=true
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- ONNX_ARENA_EXTEND_STRATEGY=kNextPowerOfTwo
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depends_on:
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model-fetcher:
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condition: service_healthy
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# Gradio UI service [Comment out everything below if you don't need it]
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gradio-ui:
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build:
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context: ./ui
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ports:
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- "7860:7860"
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volumes:
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- ./ui/data:/app/ui/data
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- ./ui/app.py:/app/app.py # Mount app.py for hot reload
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environment:
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- GRADIO_WATCH=True # Enable hot reloading
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