ovos-padatious 2.0.0a1

A neural network intent parser

Padatious

An efficient and agile neural network intent parser, implemented in pure numpy with a FANN-compatible model format.

This repository contains a OVOS pipeline plugin and bundles a fork of the original padatious from the defunct MycroftAI

Features

• Intents are easy to create
• Requires a relatively small amount of data
• Intents run independent of each other
• Easily extract entities (ie. Find the nearest gas station -> place: gas station)
• Fast training with a modular approach to neural networks

Installing

Padatious is pure Python — no native packages or compilers required.

Install via pip3:

pip3 install padatious

Padatious also works in Python 2 if you are unable to upgrade.

Direct Usage

Here's a simple example of how to use Padatious:

from ovos_padatious import IntentContainer

container = IntentContainer('intent_cache')
container.add_intent('hello', ['Hi there!', 'Hello.'])
container.add_intent('goodbye', ['See you!', 'Goodbye!'])
container.add_intent('search', ['Search for {query} (using|on) {engine}.'])
container.train()

print(container.calc_intent('Hello there!'))
print(container.calc_intent('Search for cats on CatTube.'))

container.remove_intent('goodbye')

License

Licensed under the Apache 2 license.