Dockerfile

# Use the official Python 3.9 image
FROM python:3.9

# Set the working directory
WORKDIR /code

# Copy requirements.txt and install dependencies
COPY ./requirements.txt /code/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# Install Ollama (needed for LLM response generation)
RUN curl -fsSL https://ollama.com/install.sh | sh

# Create a new user named "user" with user ID 1000 (non-root user for security)
RUN useradd -m -u 1000 user

# Switch to the "user" user
USER user

# Set environment variables
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH

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

# Copy project files and set ownership to the user
COPY --chown=user . $HOME/app

# Expose the port FastAPI will run on
EXPOSE 7860

# Start FastAPI server with Uvicorn
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]