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| FROM python:3.11-slim | |
| # System deps for OpenCV and MediaPipe | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| libgl1 libglib2.0-0 libsm6 libxext6 libxrender1 wget unzip \ | |
| libegl1 libgles2 libgomp1 \ | |
| g++ && \ | |
| rm -rf /var/lib/apt/lists/* | |
| WORKDIR /app | |
| # Install Python dependencies | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Pre-download MediaPipe model at build time so first request is fast. | |
| # Hugging Face models (Ethnicity ViT, SegFormer, HSEmotion, ObstructionViT, | |
| # HairTypeViT) and the InsightFace buffalo_l bundle are pulled lazily on | |
| # first request and cached in /root/.cache for the lifetime of the | |
| # container. | |
| RUN mkdir -p models && \ | |
| wget -q -O models/face_landmarker.task \ | |
| "https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/latest/face_landmarker.task" | |
| # Pre-download InsightFace buffalo_l bundle (detection + recognition + | |
| # age + gender + landmarks) so the first /analyze call doesn't pay the | |
| # ~280MB download. The bundle auto-extracts under ~/.insightface/models/ | |
| # on first use. | |
| RUN mkdir -p /root/.insightface/models && \ | |
| wget -q -O /root/.insightface/models/buffalo_l.zip \ | |
| "https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip" && \ | |
| cd /root/.insightface/models && unzip -q buffalo_l.zip -d buffalo_l && rm buffalo_l.zip | |
| # unzip wasn't in the system deps; add it via the apt block at the top. | |
| COPY . . | |
| EXPOSE 7860 | |
| CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] | |