Dockerfile

FROM python:3.9

# Create a user to run the app
RUN useradd -m -u 1000 user
USER user
ENV PATH="/home/user/.local/bin:$PATH"

# Set the working directory to /app
WORKDIR /app

# Copy the requirements.txt file
COPY --chown=user ./requirement.txt requirement.txt

# Copy the necessary libraries (if required)
COPY --chown=user ./lib/aicloudlibs-0.1.0-py3-none-any.whl /lib/
# You can add the rest of your .whl files as needed
# COPY --chown=user ./lib/better_profanity-2.0.0-py3-none-any.whl /lib/
# COPY --chown=user ./lib/privacy-1.0.9-py3-none-any.whl /lib/

# Install dependencies
RUN pip install --no-cache-dir --upgrade -r requirement.txt

# Copy the src folder into /app/src in the container
COPY --chown=user ./src /app/src
COPY --chown=user ./config /app/config
COPY --chown=user ./lib /app/lib
COPY --chown=user ./models /app/models


# Set PYTHONPATH to include /app/src so Python can find llm_explain
ENV PYTHONPATH="/app/src:$PYTHONPATH"

# Expose the port (default for Hugging Face is 7860)
EXPOSE 7860

# CMD to run the FastAPI app with Uvicorn
CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "7860"]