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FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
ENV DEBIAN_FRONTEND=noninteractive
# Set the MKL_THREADING_LAYER environment variable to GNU
ENV MKL_THREADING_LAYER=GNU
RUN apt-get update && apt-get install -y git wget libgl1-mesa-glx libglib2.0-0 ffmpeg libx264-dev build-essential cmake
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYTHONPATH=$HOME/app \
PYTHONUNBUFFERED=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_THEME=huggingface \
GRADIO_SHARE=False \
SYSTEM=spaces
# Set the working directory to the user's home directory
WORKDIR $HOME/app
RUN git clone -b dev https://github.com/fffiloni/dreamtalk $HOME/app
RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/denoising_network.pth -O $HOME/app/checkpoints/denoising_network.pth
RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/renderer.pt -O $HOME/app/checkpoints/renderer.pt
# Install dependencies
RUN pip install --no-cache-dir urllib3==1.26.6 transformers==4.28.1 dlib yacs scipy scikit-image scikit-learn PyYAML Pillow numpy opencv-python imageio ffmpeg-python av moviepy gradio
COPY app.py .
# Set the environment variable to specify the GPU device
ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
ENV CUDA_VISIBLE_DEVICES=0
# Run your app.py script
CMD ["python", "app.py"] |