pmutua / botserver

Simple implementation of a chatbot using Django that runs on Docker. The chatbot uses the ChatterBot Python library that makes it easy to generate automated responses to a user’s input.

Botserver

ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on collections of known conversations. The language independent design of ChatterBot allows it to be trained to speak any language.

An example of typical input would be something like this:

user: Good morning! How are you doing? bot: I am doing very well, thank you for asking. user: You're welcome. bot: Do you like hats?

How it works An untrained instance of ChatterBot starts off with no knowledge of how to communicate. Each time a user enters a statement, the library saves the text that they entered and the text that the statement was in response to. As ChatterBot receives more input the number of responses that it can reply and the accuracy of each response in relation to the input statement increase. The program selects the closest matching response by searching for the closest matching known statement that matches the input, it then returns the most likely response to that statement based on how frequently each response is issued by the people the bot communicates with.

pip install pipenv

pipenv lock

pipenv install --ignore-pipfile

python manage.py migrate django_chatterbot

RUN:

docker-compose exec db psql --username=hello_django --dbname=hello_django_dev

docker-compose exec web manage.py migrate django_chatterbot

docker-compose exec web python manage.py migrate --noinput

docker volume inspect django-on-docker_postgres_data

RUN chmod +x entrypoint.sh

DOCKER:

docker build -f ./core/Dockerfile -t nccgbot:latest ./core

docker run -d -p 8000:8000 -e "SECRET_KEY=please_change_me" -e "DEBUG=1" -e "DJANGO_ALLOWED_HOSTS=*" nccg-chatbot_web python /usr/src/app/manage.py runserver 0.0.0.0:8000

Remobe dangling images

docker rmi -f $(docker images -f "dangling=true" -q)

install spacy==2.3.2 manually

docker-compose -f docker-compose-deploy.yml build --no-cache

List all containers (only IDs) docker ps -aq. Stop all running containers. docker stop $(docker ps -aq) Remove all containers. docker rm $(docker ps -aq) Remove all images. docker rmi $(docker images -q)

TODO

Django first-time initialization and Training:

% python manage.py migrate --run-syncdb % python manage.py migrate train