- Add docker/ directory with Dockerfile for backend and frontend
- Backend: pytorch/pytorch CUDA base image with all qwen_tts deps
- Frontend: multi-stage nginx build with /api/ proxy to backend
- docker-compose.yml (CPU) + docker-compose.gpu.yml (GPU overlay)
- Fix /users/me returning 404 due to missing route (was caught by /{user_id})
- Update .gitignore to exclude docker/models, docker/data, docker/.env
- Update README and README.zh.md with Docker deployment instructions
Images: bdim404/qwen3-tts-backend, bdim404/qwen3-tts-frontend
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
23 lines
574 B
Docker
23 lines
574 B
Docker
FROM pytorch/pytorch:2.5.1-cuda12.1-cudnn9-runtime
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libsndfile1 \
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&& rm -rf /var/lib/apt/lists/*
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COPY qwen3-tts-backend/requirements.txt .
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COPY docker/backend/requirements.qwen_tts.txt .
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RUN pip install --no-cache-dir -r requirements.txt -r requirements.qwen_tts.txt
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COPY qwen_tts ./qwen_tts
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COPY qwen3-tts-backend .
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RUN mkdir -p /app/Qwen /app/data /app/voice_cache /app/outputs
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ENV PYTHONPATH=/app
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EXPOSE 8000
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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