editify-backend / Dockerfile
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feat: download GroundingDINO and SAM2 models at startup
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FROM pytorch/pytorch:2.4.1-cuda12.1-cudnn9-runtime
WORKDIR /app
# system dependencies
RUN apt-get update && apt-get install -y \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
libgl1-mesa-glx \
git \
wget \
&& rm -rf /var/lib/apt/lists/*
RUN pip install --no-cache-dir --upgrade pip
RUN pip install --no-cache-dir \
torch==2.4.1+cu121 \
torchvision==0.19.1+cu121 \
torchaudio==2.4.1+cu121 \
--index-url https://download.pytorch.org/whl/cu121
# install all other dependencies
COPY requirements.txt .
# Install everything except SAM2
RUN grep -v "facebookresearch/sam2" requirements.txt > requirements_no_sam.txt && \
pip install --no-cache-dir -r requirements_no_sam.txt
# SAM2 officially requires torch>=2.5.1, but this project was
# developed and validated with torch==2.4.1. Install SAM2 without dependency resolution to preserve the tested environment
RUN pip install --no-cache-dir --no-deps \
git+https://github.com/facebookresearch/sam2.git@2b90b9f5ceec907a1c18123530e92e794ad901a4
# copy backend code
COPY . .
# create runtime directories
RUN mkdir -p uploads outputs models
# expose HF Spaces port
EXPOSE 7860
COPY download_models.sh .
RUN chmod +x download_models.sh
CMD ["sh", "-c", "./download_models.sh && uvicorn main:app --host 0.0.0.0 --port 7860"]