custom Keyword inclusion

[Vignesh9395]

Problem description

My requirement is, the generated summary should have specific keywords from the input text.

Steps/code/corpus to reproduce

I need the pipeline component to accept keywords as input parameter.

summary = lxr.get_summary(sentences, summary_size=2, threshold=.1, custom_keywords=keywords)

For example,

from lexrank import LexRank
from lexrank.mappings.stopwords import STOPWORDS
from path import Path

documents = []
documents_dir = Path('bbc/politics')

for file_path in documents_dir.files('*.txt'):
    with file_path.open(mode='rt', encoding='utf-8') as fp:
        documents.append(fp.readlines())

lxr = LexRank(documents, stopwords=STOPWORDS['en'])

# example text
sentences = [
    'One of David Cameron\'s closest friends and Conservative allies, '
    'George Osborne rose rapidly after becoming MP for Tatton in 2001.',

    'Michael Howard promoted him from shadow chief secretary to the '
    'Treasury to shadow chancellor in May 2005, at the age of 34.',

    'Mr Osborne took a key role in the election campaign and has been at '
    'the forefront of the debate on how to deal with the recession and '
    'the UK\'s spending deficit.',

    'Even before Mr Cameron became leader the two were being likened to '
    'Labour\'s Blair/Brown duo. The two have emulated them by becoming '
    'prime minister and chancellor, but will want to avoid the spats.',

    'Before entering Parliament, he was a special adviser in the '
    'agriculture department when the Tories were in government and later '
    'served as political secretary to William Hague.',

    'The BBC understands that as chancellor, Mr Osborne, along with the '
    'Treasury will retain responsibility for overseeing banks and '
    'financial regulation.',

    'Mr Osborne said the coalition government was planning to change the '
    'tax system \"to make it fairer for people on low and middle '
    'incomes\", and undertake \"long-term structural reform\" of the '
    'banking sector, education and the welfare state.',
]

# keywords
keywords = ['Michael Howard', 'chief secretary', 'BBC', 'Mr Osborne', 'Treasury' ]

# get summary with classical LexRank algorithm
summary = lxr.get_summary(sentences, summary_size=2, threshold=.1, custom_keywords=keywords)
print(summary)

Output

[ 'Michael Howard promoted him from shadow chief secretary to the '
'Treasury to shadow chancellor in May 2005, at the age of 34.',
'The BBC understands that as chancellor, Mr Osborne, along with the '
'Treasury will retain responsibility for overseeing banks and '
'financial regulation.']

As in above example, I need a parameter to include custom keywords and those keywords must be present in the summarized text.
(i.e) The sentences with the keywords should be the top ranked sentences.

Is there a way to do this? or any function that does this present as part of the library?