shleeneu/cart

Conversational Agent Research Toolkit

CART - Conversational Agent Research Toolkit

The Conversational Agent Research Toolkit (CART) is aimed at enabling researchers to create conversational agents for experimental studies using computational methods. CART provides a unifying toolkit written in Python that integrates existing services and APIs for dialogue management, natural language understanding & generation, and frameworks that enable publishing the conversational agents as either a web interface or within messaging apps.

Requirements

CART is written in Python 3.6, and needs run in a server able to execute Python code (serving a Flask application with an https certificate) and host a MySQL database. The documentation demonstrates how to use Heroku (for the web server) and a database service (e.g., AWS RDS).

CART requires also access to two API services:

• DialogFlow, for dialogue management
• Microsoft Bot Framework, to publish the agent online in a web chat or in other channels (e.g., Skype, Telegram, Facebook Messenger)

Installing and Using CART

Documentation on how to install and use CART is available here: https://cart.readthedocs.io/en/latest/