Metadata-Version: 2.1
Name: NlpHub
Version: 1.0.3
Summary: A wrapper around Spacy, NLTK and uses some other libraries to perform Simple NLP tasks with less code.
Home-page: https://github.com/shahid017/NlpHub
Author: Muhammad Shahid Sharif
Author-email: chshahidhamdam@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: spacy
Requires-Dist: nltk
Requires-Dist: sklearn
Requires-Dist: textblob
Requires-Dist: spacy-langdetect
Requires-Dist: spacy-readability
Requires-Dist: pandas
Requires-Dist: wordcloud
Requires-Dist: matplotlib
Requires-Dist: pdfminer
Requires-Dist: docx2txt
Requires-Dist: gtts
Requires-Dist: fpdf

# NlpHub

A wrapper around Spacy, NLTK and also uses some other libraries.

pip install NlpHub

## Python Notebook

from NlpHub import Annotators, Transformers, Convertors, Analyzers
Convertors.txt_to_speech("your text here", save_to= "path_to_mp3_file" )

NlpHub is a wrapper around Spacy, NLTK and some other libraries simple NLP tasks. You can perform simple tasks with just 3 or 4 lines of code. NlpHub can perform basic NLP operations with less code and less hassle.

Installation You can install NlpHub via pip. Write this command in terminal and voila, you have installed NlpHub.

pip install NlpHub
It will auto install dependencies and you don't need to worry about anything.

Import
To use NlpHub in your Jupyter notebook or python file, You can import it like this.

from NlpHub import Annotators


Read details here, https://github.com/shahid017/NlpHub


