LexRank summarization in python using sumy

lexrank.py

#Import library essentials
from sumy.parsers.plaintext import PlaintextParser #We're choosing a plaintext parser here, other parsers available for HTML etc.
from sumy.nlp.tokenizers import Tokenizer 
from sumy.summarizers.lex_rank import LexRankSummarizer #We're choosing Lexrank, other algorithms are also built in

file = "plain_text.txt" #name of the plain-text file
parser = PlaintextParser.from_file(file, Tokenizer("english"))
summarizer = LexRankSummarizer()

summary = summarizer(parser.document, 5) #Summarize the document with 5 sentences

for sentence in summary:
    print sentence

How do I use this LSA summarizer for string of text instead of a text file?

@Jbrown214 You can use this method:
parser = PlaintextParser.from_string(string, Tokenizer("english"))

The documentation for sumy isn't the greatest so try looking at the source code

In order to get LSA use: from sumy.summarizers.lsa import LsaSummarizer

Thank you @Jbrown214 and @jeffquach for asking and answering. I had the same question.