Dockerfile

# syntax=docker/dockerfile:1

# Comments are provided throughout this file to help you get started.
# If you need more help, visit the Dockerfile reference guide at
# https://docs.docker.com/engine/reference/builder/

ARG PYTHON_VERSION=3.10
FROM python:${PYTHON_VERSION}-slim as base

# Copy the requirements file into the container.
COPY requirements.txt .

# Install the dependencies from the requirements file.
RUN python -m pip install --no-cache-dir -r requirements.txt


# Prevents Python from writing pyc files.
ENV PYTHONDONTWRITEBYTECODE=1

# Keeps Python from buffering stdout and stderr to avoid situations where
# the application crashes without emitting any logs due to buffering.
ENV PYTHONUNBUFFERED=1

WORKDIR /app
# Copy the source code into the container.
COPY . .

# Create a non-privileged user that the app will run under.
# See https://docs.docker.com/develop/develop-images/dockerfile_best-practices/#user
# Switch to the non-privileged user to run the application.

# Run the Python script to generate the FAISS index and save the model.
RUN python create_faiss_index.py

USER 1001

ENTRYPOINT [ "rasa" ]

# Expose the port that the application listens on.
EXPOSE 7860

# Get secret openai and mount it
RUN --mount=type=secret,id=openai,mode=0444,required=true 

# To specify model path
CMD ["run","actions","--port","7860"]

#CMD ["python", "actions/actions_llm.py"]