# Use NVIDIA CUDA base image
FROM nvidia/cuda:11.8.0-devel-ubuntu20.04

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.9 \
    python3.9-dev \
    python3-pip \
    ffmpeg \
    git \
    wget \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Create symlinks for python
RUN ln -s /usr/bin/python3.9 /usr/bin/python

# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user

# Switch to the "user" user
USER user

# Set home to the user's home directory
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH

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

# Upgrade pip
RUN python -m pip install --no-cache-dir --upgrade pip

# Copy requirements file
COPY --chown=user requirements.txt .

# Install other Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Install PyTorch with CUDA support first
RUN pip install --no-cache-dir \
    torch==2.0.1+cu118 \
    torchvision==0.15.2+cu118 \
    torchaudio==2.0.2+cu118 \
    -f https://download.pytorch.org/whl/torch_stable.html

# Copy the application code
COPY --chown=user . .

# Expose the port
EXPOSE 7860

# Run the application
CMD ["python", "unified_socket_server.py", "--host", "0.0.0.0", "--port", "7860"]