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https://huggingface.co/spaces/misukisu/embeddinggemma-2-api/resolve/main/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/misukisu/embeddinggemma-2-api/resolve/main/Dockerfile
1.06 kB
| FROM python:3.11-slim | |
| WORKDIR /app | |
| ENV PYTHONUNBUFFERED=1 \ | |
| DEBIAN_FRONTEND=noninteractive \ | |
| HF_HUB_ENABLE_HF_TRANSFER=0 \ | |
| MODEL_PATH=/app/model_cache | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| ffmpeg \ | |
| libsndfile1 \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Mount HF_TOKEN from Space Secrets during Docker build | |
| RUN --mount=type=secret,id=HF_TOKEN \ | |
| python3 -c "\ | |
| import os; \ | |
| token = open('/run/secrets/HF_TOKEN').read().strip() if os.path.exists('/run/secrets/HF_TOKEN') else os.getenv('HF_TOKEN'); \ | |
| from transformers import AutoProcessor, AutoModel; \ | |
| AutoProcessor.from_pretrained('google/embeddinggemma-2', token=token).save_pretrained('/app/model_cache'); \ | |
| AutoModel.from_pretrained('google/embeddinggemma-2', token=token).save_pretrained('/app/model_cache')" | |
| COPY app.py . | |
| EXPOSE 7860 | |
| CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1", "--loop", "uvloop", "--http", "httptools"] | |