Spaces:
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| # 3D Gaussian 4D Video Stack Visualizer — Hugging Face Docker Space | |
| FROM python:3.10-slim | |
| # ffmpeg gives OpenCV broad codec support for decoding uploaded videos. | |
| # (opencv-python-headless needs no X libraries, but ffmpeg helps with more formats.) | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| ffmpeg \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Hugging Face Spaces run as a non-root user (uid 1000). Create it and a home. | |
| RUN useradd -m -u 1000 user | |
| ENV HOME=/home/user \ | |
| PATH=/home/user/.local/bin:$PATH \ | |
| PORT=7860 \ | |
| HOST=0.0.0.0 \ | |
| PYTHONUNBUFFERED=1 | |
| WORKDIR $HOME/app | |
| # Install Python deps first for better layer caching. | |
| COPY --chown=user requirements.txt . | |
| RUN pip install --no-cache-dir --upgrade pip \ | |
| && pip install --no-cache-dir -r requirements.txt | |
| # Copy the application (app.py, static/, video/). | |
| COPY --chown=user . . | |
| # Ensure runtime dirs exist and are owned by the runtime user. | |
| RUN mkdir -p uploads frames && chown -R user:user $HOME/app | |
| USER user | |
| EXPOSE 7860 | |
| # gunicorn: single worker (shared on-disk session dirs), several threads for | |
| # concurrent texture requests, generous timeout for large frame extractions. | |
| CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "1", "--threads", "8", \ | |
| "--timeout", "600", "app:app"] | |