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# Base image with PyTorch and CUDA for GPU support
FROM pytorch/pytorch:1.10.0-cuda11.3-cudnn8-runtime
# Install system dependencies and Git LFS for large model files
RUN apt-get update && apt-get install -y \
git \
wget \
git-lfs \
&& rm -rf /var/lib/apt/lists/*
# Install Python packages including Hugging Face Transformers and Flask
RUN pip install --no-cache-dir \
torch \
torchvision \
transformers \
requests \
Flask
# Set Hugging Face cache to a writable directory
ENV TRANSFORMERS_CACHE=/app/cache
RUN mkdir -p /app/cache
# Create a working directory for model files
RUN mkdir -p /models/sapiens_pose /models/motionbert
# Download Meta Sapiens Pose model using Git LFS
RUN git lfs install && \
git clone https://huggingface.co/facebook/sapiens-pose-1b-torchscript /models/sapiens_pose && \
ls /models/sapiens_pose # List contents to verify download
# Download MotionBERT model using Git LFS
RUN git clone https://huggingface.co/walterzhu/MotionBERT /models/motionbert && \
ls /models/motionbert # List contents to verify download
# Copy the inference script (app.py) into the container
COPY app.py /app/app.py
# Expose the default port for Flask
EXPOSE 7860
# Run the Flask app
CMD ["python", "/app/app.py"]
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