Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

License

Padatious

Padatious is a neural network intent parser, implemented in pure numpy with a FANN-compatible model format. This repository packages it as an OpenVoiceOS (OVOS) pipeline plugin and bundles a maintained fork of the original padatious from Mycroft AI.

Features

  • Intents are easy to create from a handful of example sentences.
  • Each intent trains its own small network, independent of the others.
  • Fast training on a small amount of data.
  • Entity extraction from a matched sentence (for example, Find the nearest {place} matches "Find the nearest gas station" and extracts place: gas station).

Installing

Padatious is pure Python (numpy). It needs no native libraries or compilers.

Install from PyPI:

pip install ovos-padatious-pipeline-plugin

Direct Usage

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')

Inside OVOS, the plugin is discovered automatically through its opm.pipeline entry point. See docs/ for installation details, the intent file syntax, the full Python API, pipeline configuration, and the matching algorithm.

Inside OVOS, training and compiling always run on a background worker, never on the thread that registered or queried something (including the very first pass); a test or tool that registers an intent and needs to query it right away should call PadatiousPipeline.wait_until_trained() (see docs/ovos_pipeline.md) rather than polling or sleeping.

Related projects

License

Licensed under the Apache 2.0 license.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ovos_padatious-2.0.17a1.tar.gz (130.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ovos_padatious-2.0.17a1-py3-none-any.whl (76.5 kB view details)

Uploaded Python 3

File details

Details for the file ovos_padatious-2.0.17a1.tar.gz.

File metadata

  • Download URL: ovos_padatious-2.0.17a1.tar.gz
  • Upload date:
  • Size: 130.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for ovos_padatious-2.0.17a1.tar.gz
Algorithm Hash digest
SHA256 ef8447e11e53508fa6cd28932da45f794dbc402ee21141929a6aeb518b1a2b21
MD5 524ae69d201bbaec6a923914558d3c82
BLAKE2b-256 47e5445668bc5d4b7e5896f8b4eda1d5a4a1f126b6b6b0951baad26cc62f43ac

See more details on using hashes here.

File details

Details for the file ovos_padatious-2.0.17a1-py3-none-any.whl.

File metadata

File hashes

Hashes for ovos_padatious-2.0.17a1-py3-none-any.whl
Algorithm Hash digest
SHA256 4f3515625209bee2edabd26b9a06290103caee35e31d132b2f1ff07688ee25a1
MD5 aa6db44820a19ee7384a1d0de5ea82db
BLAKE2b-256 96464ee26c693094116fc7390d4417f746f122878aa026ad602ff3399aab4704

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

2.0.17a1 This release

2 files

1.4.3

2 files

1.4.2

2 files

1.4.1

2 files

1.3.6

2 files

1.3.4

2 files

1.3.3

2 files

1.3.2

2 files

1.3.0

2 files

1.2.0

2 files

1.1.1

2 files

1.1.0

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

0.1.3

2 files

0.1.2

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page