Dockerfile

FROM nvidia/cuda:12.5.1-cudnn-devel-ubuntu22.04

ARG DEBIAN_FRONTEND=noninteractive

# Set up a new user named "user" with user ID 1099
RUN useradd -m -u 1099 user

# Update packages
RUN apt-get update && apt-get install -y \
  build-essential \
  python3 \
  python3-pip \
  git \
  ffmpeg \
  libcudnn8 \
  libcudnn8-dev \
  sudo

# 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 environment variables
ENV PYTHONUNBUFFERED=1 \
    GRADIO_ALLOW_FLAGGING=never \
    GRADIO_NUM_PORTS=1 \
    GRADIO_SERVER_NAME=0.0.0.0 \
    GRADIO_THEME=huggingface \
    SYSTEM=spaces \
    TRANSFORMERS_CACHE=/dev/shm \
    GRADIO_ANALYTICS_ENABLED=False

WORKDIR /home/user/app

# Set up CUDA libraries
RUN export LD_LIBRARY_PATH=`python3 -c 'import os; import nvidia.cublas.lib; import nvidia.cudnn.lib; import torch; print(os.path.dirname(nvidia.cublas.lib.__file__) + ":" + os.path.dirname(nvidia.cudnn.lib.__file__) + ":" + os.path.dirname(torch.__file__) +"/lib")'`:$LD_LIBRARY_PATH


# Copy the current directory contents into the container at /app
COPY --chown=user . $HOME/app

COPY ./requirements.txt /home/user/app/requirements.txt

RUN pip3 install --no-cache-dir --upgrade -r /home/user/app/requirements.txt

# Create necessary directories and set permissions
RUN mkdir -p /home/user/app/Results/Audio_Processing /app/Results/Video_Downloads

RUN chmod -R 777 /home/user/app/*

RUN whoami && \
    echo "Permissions for ./app:" && \
    ls -la ./app && \
    echo "Permissions for ./:" && \
    ls -la ./

CMD ["cd /home/user/app"]
# Command to run the application
CMD ["python3", "app.py"]