Machine Learning based agent, helps to enable business automation.
Author: Katana, Red Samurai Consulting, Andrejus Baranovskis
- Machine Learning
pip install tensorflow
pip install keras
Model code is located in mlmodels folder.
Sample set of intents is available in the file mlmodels/intents.json. There is pre-built model in mlmodels/katana-assistant-model.pkl. If you want to rebuild model - run Jupyter notebook katana-assistant-model.ipynb
To start Katana assistant model endpoint in the background process run it with PM2 manager:
pm2 start katana-assistant-endpoint.py
This will start endpoint on port 5001
- Node.js Backend
Backend code is located in mlbackend folder.
Run backend with PM2 manager on port 3000:
PORT=3000 pm2 start -l 0 ./bin/www
Socket.IO endpoint will be started on port 8000. Check mlbackend/routes/assistant.js
Frontend code is located in mlfrontend folder.
UI client is implemented with Oracle JET. Follow instructions to install Oracle JET.
Navigate to folder mlfrontend/socketiojet and run this command to setup required libraries:
Run UI client:
ojet --server-port=8010 serve
This will start frontend on port 8010.
Licensed under the Apache License, Version 2.0. Copyright 2019 Red Samurai Consulting. Copy of the license.