# Use a lightweight Python image
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# System dependencies not needed for Pillow/Torch CPU in this case.
# If you add opencv-python later, you might need libgl1 and libglib2.0-0.


# Copy requirements
COPY requirements.txt .

# Install PyTorch CPU ONLY (Crucial for small droplets to save space)
# This must be run BEFORE installing requirements.txt if requirements.txt contained torch,
# but here we run it explicitly to ensure we get the CPU version.
RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu

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

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

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

# Expose port 7860
EXPOSE 7860

# Run the app on port 7860
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]