Dockerfile

# Base image
FROM python:3.9

# Set the working directory in the container
WORKDIR /code

# Set environment variables for writable directories
ENV MPLCONFIGDIR=/tmp/matplotlib_cache
ENV XDG_CACHE_HOME=/tmp/cache
ENV TORCH_HOME=/tmp/cache/torch

# Create necessary directories and set permissions
RUN mkdir -p /.cache/gdown /code/pretrained_models /tmp/cache/torch \
    && chmod -R 777 /.cache /code/pretrained_models /tmp/cache

# Install libGL for OpenCV
RUN apt-get update && apt-get install -y \
    libgl1-mesa-glx

# Copy the requirements file into the container at /code
COPY code/requirements.txt /code/

# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt

# Install additional packages
RUN pip install uvicorn torch torchvision numpy>=1.16.5 scipy>=1.3.0 opencv-python gdown Pillow gradio

# Copy the rest of your application's code
COPY . .

# Command to run the application
CMD ["python", "code/demo.py"]