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| # Headless recognizer API as a Hugging Face Docker Space (or any container host). | |
| # The assembled build (space/assemble.sh output, or the repo) provides raaga_id/, models/, api.py. | |
| FROM python:3.10-slim | |
| # ffmpeg: decode webm/opus/m4a the browser sends. libsndfile: soundfile backend. | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| ffmpeg libsndfile1 build-essential \ | |
| && rm -rf /var/lib/apt/lists/* | |
| WORKDIR /app | |
| COPY requirements-api.txt . | |
| RUN pip install --no-cache-dir -r requirements-api.txt | |
| COPY . . | |
| ENV MODEL_PATH=/app/models/raaga_xgb.json | |
| # HF Spaces route to $PORT (7860). Warm the model on the first request, not at build. | |
| EXPOSE 7860 | |
| CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "7860"] | |