Dockerfile

# Base image with PyTorch and CUDA for GPU support
FROM pytorch/pytorch:1.10.0-cuda11.3-cudnn8-runtime

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    wget \
    && rm -rf /var/lib/apt/lists/*

# Install Python packages including Hugging Face Transformers, TorchScript, and Flask
RUN pip install --no-cache-dir \
    torch \
    torchvision \
    transformers \
    requests \
    Flask  # Explicitly add Flask here

# Create a working directory for model files
RUN mkdir /models
WORKDIR /models

# Download Meta Sapiens Pose model from Hugging Face Hub
RUN git clone https://huggingface.co/facebook/sapiens-pose-1b-torchscript /models/sapiens_pose

# Download MotionBERT model from Hugging Face Hub
RUN git clone https://huggingface.co/walterzhu/MotionBERT /models/motionbert

# 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"]