Extractive summarizer

A simple nlp based app to generate short summaries of long texts based on their importace

Link

Install spacy

  pip install spacy

Install Textrank

  pip install pytextrank

Install Flask

  pip install Flask

Install pipeline pakage "en_core_web_sm"

  python -m spacy download en_core_web_sm

Client: HTML CSS

Server: Flask

ADD NLP WITH SPACY

  nlp=spacy.load("en_core_web_sm")

ADD A PIPELINE TO SUPPLY TEXTS USING TEXTRANK

 nlp.add_pipe('textrank')

USE SPACEY PIPELINE WITH TEXTRANK

doc=nlp(example text)

Iterate through each word and create summary using generator object:

for i in doc._.textrank.summary():
  print(i)