Dockerfile

# Use the official Python image from the Docker library
FROM python:3.10-slim

# Set the working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    libgl1-mesa-glx \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# Set environment variables
ENV TRANSFORMERS_CACHE=/tmp/transformers_cache
ENV MPLCONFIGDIR=/tmp/.matplotlib

# 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

# Copy the application code into the container and set the owner to the user
COPY --chown=user . $HOME/app

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

# Expose the port the app runs on
EXPOSE 7860

# Command to run the application
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]