English Assistant Core

This project is related to the implementation of the English Assistant Application, which helps us to learn English as an assistant. And, Also this package has the ability to translate from English to Persian.

Instruction

1. Install Python.

⚠ WARNING:

After install EnglishAssistantCore. pip install EnglishAssistantCore, don't forget install en_core_web_sm data. pip install "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0-py3-none-any.whl"

2. Install English Assistant Core and SpaCy-English Core Web Small (en_core_web_sm)

   Windows:

   pip install EnglishAssistantCore & pip install "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0-py3-none-any.whl"
   

   Linux:

   pip3 install EnglishAssistantCore && pip3 install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.6.0/en_core_web_sm-3.6.0-py3-none-any.whl
   

Usage

Set a string as a list.

List = ["Hello"]
#List_String = ["Hello, I am WinCento."]
#List = list(filter(None, re.split(r'\s|\.|,', List_String[0])))

Set the text.

_text = List[0]

Prepare the core.

_core = Core()

Configurate core.

_core.set_voice('en') #language
_core.set_rate(140) #rate

Speak:

_core.speak(_text)

Record:

import os
_core.record(_text,os.path.join(os.path.join(os.path.dirname(__file__)),'output.mp3'))

Tag With SpaCy:

_tag = _core.find_tag_spacy(_text)
_expo = _core.tag_translator_spacy(_tag)
print(_text+" is "+_expo)

Tag With NLTK (optional):

_tag = _core.find_tag_pickle(_text)
_expo = _core.tag_translator_pickle(_tag)
print(_text+" is "+_expo)

Translate To Persian - Online:

_core.set_translator_lang()
_trans = _core.translate_action(_text)
print(_trans)

Pronunciation:

_pron = _core.find_pronunc(list(filter(None, re.split(r'\s|\.|,', _text))))
print(_pron)