Machine Learning based agent, helps to enable business automation.
Technology: TensorFlow, Keras, Flask, Python, Node.js, JavaScript
Author: Katana, Red Samurai Consulting, Andrejus Baranovskis
Install TensorFlow
pip install tensorflow
Install Keras
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
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:
ojet restore
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.