Dockerfile

FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel

ENV DEBIAN_FRONTEND=noninteractive

# Set the MKL_THREADING_LAYER environment variable to GNU
ENV MKL_THREADING_LAYER=GNU

# Install system dependencies including those required for dlib
RUN apt-get update && apt-get install -y \
    git \
    wget \
    libgl1-mesa-glx \
    libglib2.0-0 \
    ffmpeg \
    libx264-dev \
    build-essential \
    cmake \
    libopenblas-dev \
    liblapack-dev \
    libx11-dev \
    libgtk-3-dev \
    python3-dev

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

# Print detailed Python information
RUN python -c "import sys; print(f'Python {sys.version}')"

# Clone the repository
RUN git clone -b dev https://github.com/fffiloni/dreamtalk $HOME/app 
    
# Download model checkpoints
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 Python dependencies
RUN pip install --no-cache-dir \
    urllib3==1.26.6 \
    transformers==4.28.1 \
    yacs==0.1.8 \
    scipy==1.10.1 \
    scikit-image==0.20.0 \
    scikit-learn==1.2.2 \
    PyYAML==6.0 \
    Pillow==9.5.0 \
    numpy==1.24.2 \
    opencv-python==4.7.0.72 \
    imageio==2.27.0 \
    ffmpeg-python \
    av==11.0.0 \
    moviepy==1.0.3

RUN pip install gradio

# Install dlib with verbose output
RUN pip install --verbose --no-cache-dir dlib-bin

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"]