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# 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=3.8
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"]
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