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https://huggingface.co/spaces/Rights4AI/booper-chat/resolve/main/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/Rights4AI/booper-chat/resolve/main/Dockerfile
1.09 kB
| FROM python:3.12-slim | |
| ENV PYTHONUNBUFFERED=1 \ | |
| PYTHONDONTWRITEBYTECODE=1 \ | |
| PIP_NO_CACHE_DIR=1 | |
| WORKDIR /app | |
| # torch first, from the CPU-only index. `--extra-index-url` would not be enough: | |
| # PyPI publishes the same version number as a CUDA build, and pip is free to | |
| # resolve to it -- which is 2.5GB of CUDA runtime this Space will never call. | |
| RUN pip install --no-cache-dir --index-url https://download.pytorch.org/whl/cpu torch==2.13.0 | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Bake the weights into the image: a Space that pulls a 409MB checkpoint on | |
| # every cold start answers its first message a minute late, and the trimmed | |
| # file is 136MB. | |
| COPY prepare_weights.py . | |
| RUN python prepare_weights.py /app/weights | |
| COPY booper ./booper | |
| COPY static ./static | |
| COPY app.py . | |
| EXPOSE 7860 | |
| # One worker: the model is a shared in-process object and 2 vCPUs are already | |
| # saturated by a single decode, so a second worker would only double the RAM. | |
| CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1", "--no-access-log"] | |