Skip to main content

An Open-Source Persian Language Techs Toolkit with Python

Project description

VoXera

The VoXera toolkit is an open-source NLP toolkit for the Persian language (text, speech, etc). In Voxera, we collect practical models and develop new ones with easy-to-use setups. VoXera is becoming more and more functional. Until now, we have made the following functionality available:

Installation

In present, VoXera can be installed and used in two different ways.

1. From Github

1- Fork Voxera

2- Clone VoXera from your Github profile

3- Run the below script in your terminal from VoXera directory:

pip install -r requirements.txt

2. From PyPi

coming soon

How to Use

You can find a test.py file in each folders that shows how to use VoXera's features. For example, for using Persian vosk, you can run and modify this.

To see VoXera's hierarchy:

Also you can download xmind version of the hierarchy.

Project details


Download files

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

Source Distribution

VoXera-0.0.1.tar.gz (22.8 kB view details)

Uploaded Source

Built Distribution

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

VoXera-0.0.1-py3-none-any.whl (27.4 kB view details)

Uploaded Python 3

File details

Details for the file VoXera-0.0.1.tar.gz.

File metadata

  • Download URL: VoXera-0.0.1.tar.gz
  • Upload date:
  • Size: 22.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.6

File hashes

Hashes for VoXera-0.0.1.tar.gz
Algorithm Hash digest
SHA256 ff34019b8805b9bc9d26f43ebdee43657b2105cceed964960e1128f33f474b4d
MD5 b5dbf87f374ab3dddf82c3c666bd3b28
BLAKE2b-256 dd6647ceeb6e48a8c3ee61038361aed7c4510cf68e7fe42dba20d36e78ace134

See more details on using hashes here.

File details

Details for the file VoXera-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: VoXera-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 27.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.6

File hashes

Hashes for VoXera-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5e6e22d934acb86d684b91cd3fed854ea2aedc6d9c6e55c9a58694356e1ddf5c
MD5 9bf4a347e35a4caae0225a041b6bc500
BLAKE2b-256 97b6783566600e2cca58693269d7b4390ef42d2e663df1e817dec2f3db266fe0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page