FROM pytorch/pytorch:2.1.2-cuda11.8-cudnn8-devel

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive

RUN apt-get update && apt-get install -y --no-install-recommends \
    git \
    cmake \
    build-essential \
    libgl1-mesa-glx \
    libglib2.0-0 \
    ffmpeg \
    python3.8 \
    python3-pip \
    python3.8-dev \
    && rm -rf /var/lib/apt/lists/*

# Create a symlink for python
RUN ln -s /usr/bin/python3 /usr/bin/python

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 CUDA_HOME environment variable
ENV CUDA_HOME=/usr/local/cuda-11.8
ENV TORCH_CUDA_ARCH_LIST="6.0;6.1;7.0;7.5;8.0;8.6+PTX;8.9;9.0"
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

# Set the environment variable to specify the GPU device
ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
ENV CUDA_VISIBLE_DEVICES=0

# Clone the repository (adjust the URL if needed)
RUN git clone --recursive https://github.com/jnjaby/KEEP.git $HOME/app

# Set the working directory to the user's home directory
WORKDIR $HOME/app

USER root
# Install basicsr
RUN if [ -d "basicsr" ]; then \
        cd basicsr && \
        if [ ! -f "basicsr/VERSION" ]; then \
            echo "1.3.2" > basicsr/VERSION; \
        fi && \
        python setup.py develop; \
    else \
        echo "basicsr directory not found"; \
        exit 1; \
    fi

USER user


# Copy the app.py script into the container
COPY app.py .
COPY requirements_HF.txt .

# Install Python dependencies from requirements.txt
RUN pip install --upgrade pip
RUN pip install -r requirements_HF.txt
RUN pip install gradio
RUN pip install "numpy<1.25,>=1.18"
RUN pip install cupy-wheel

USER user
# Install additional Python packages
RUN pip install ffmpeg-python
RUN pip install dlib

# Command to run your application
CMD ["python", "app.py"]