mirror of
https://github.com/remsky/Kokoro-FastAPI.git
synced 2025-08-05 16:48:53 +00:00
Updated docker.
Removed unused py libs.
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parent
f18ab7dff7
commit
5425e537bc
3 changed files with 11 additions and 20 deletions
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@ -59,21 +59,15 @@ async def lifespan(app: FastAPI):
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logger.error(f"Failed to initialize model: {e}")
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raise
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boundary = "░" * 2 * 12
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startup_msg = f"""
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{boundary}
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╔═╗┌─┐┌─┐┌┬┐
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╠╣ ├─┤└─┐ │
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╚ ┴ ┴└─┘ ┴
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╦╔═┌─┐┬┌─┌─┐
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╠╩╗│ │├┴┐│ │
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╩ ╩└─┘┴ ┴└─┘
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{boundary}
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"""
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startup_msg += f"\nModel loaded on {device}"
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startup_msg += f"Model loaded on {device}"
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if device == "mps":
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startup_msg += "\nUsing Apple Metal Performance Shaders (MPS)"
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elif device == "cuda":
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@ -16,9 +16,7 @@ RUN apt-get update -y && \
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USER appuser
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WORKDIR /app
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ENV PHONEMIZER_ESPEAK_PATH=/usr/bin \
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PHONEMIZER_ESPEAK_DATA=/usr/share/espeak-ng-data \
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PYTHONUNBUFFERED=1 \
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ENV PYTHONUNBUFFERED=1 \
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PYTHONPATH=/app:/app/api \
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PATH="/app/.venv/bin:$PATH" \
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UV_LINK_MODE=copy \
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@ -26,15 +24,15 @@ ENV PHONEMIZER_ESPEAK_PATH=/usr/bin \
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DEVICE="gpu"
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COPY --chown=appuser:appuser pyproject.toml ./pyproject.toml
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COPY --chown=appuser:appuser api ./api
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COPY --chown=appuser:appuser web ./web
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COPY --chown=appuser:appuser docker/scripts/ ./
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RUN chmod +x ./entrypoint.sh
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv venv --python 3.10 && \
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uv sync --extra gpu && \
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uv cache clean && \
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uv cache clean
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COPY --chown=appuser:appuser api ./api
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COPY --chown=appuser:appuser web ./web
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COPY --chown=appuser:appuser docker/scripts/ ./
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RUN chmod +x ./entrypoint.sh && \
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python download_model.py --output api/src/models/v1_0
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# Run FastAPI server through entrypoint.sh
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@ -67,8 +65,9 @@ CMD ["./entrypoint.sh"]
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# SSH keys for logging into EC2 containers:
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# https://eu-west-1.console.aws.amazon.com/ec2/home?region=eu-west-1#KeyPairs:
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#
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# aws ecr get-login-password --region eu-west-1 | docker login --username AWS --password-stdin 678811077621.dkr.ecr.eu-west-1.amazonaws.com
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# docker build -f docker\gpu\Dockerfile -t evie/kokorotts .
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# aws ecr get-login-password --region eu-west-1 | docker login --username AWS --password-stdin 678811077621.dkr.ecr.eu-west-1.amazonaws.com
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# docker tag evie/kokorotts:latest 678811077621.dkr.ecr.eu-west-1.amazonaws.com/evie/kokorotts:latest
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# docker push 678811077621.dkr.ecr.eu-west-1.amazonaws.com/evie/kokorotts:latest
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# docker run --gpus all -p 8880:8880 --name kokorotts 678811077621.dkr.ecr.eu-west-1.amazonaws.com/evie/kokorotts
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# docker run --gpus all -p 8880:8880 --name kokorotts 678811077621.dkr.ecr.eu-west-1.amazonaws.com/evie/kokorotts
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# oe use swarm as explained here: https://blog.container-solutions.com/rolling-updates-with-docker-swarm
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@ -12,7 +12,6 @@ dependencies = [
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"pydantic==2.10.4",
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"pydantic-settings==2.7.0",
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"python-dotenv==1.0.1",
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"sqlalchemy==2.0.27",
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# ML/DL Base
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"numpy>=1.26.0",
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"scipy==1.14.1",
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@ -28,7 +27,6 @@ dependencies = [
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"loguru==0.7.3",
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"openai>=1.59.6",
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"pydub>=0.25.1",
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"matplotlib>=3.10.0",
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"mutagen>=1.47.0",
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"psutil>=6.1.1",
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"kokoro==0.9.2",
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