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from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.text_rank import TextRankSummarizer
from sumy.summarizers.luhn import LuhnSummarizer
from sumy.summarizers.lsa import LsaSummarizer
from sumy.nlp.stemmers import Stemmer
from sumy.utils import get_stop_words
import nltk
from tools import extract_text_from_pdf
LANGUAGE = "english"
SENTENCES_COUNT = 10
def generate_textrank_summary(research_paper_text):
nltk.download('punkt', quiet=True)
nltk.download('punkt_tab', quiet=True)
parser = PlaintextParser.from_string(research_paper_text, Tokenizer(LANGUAGE))
stemmer = Stemmer(LANGUAGE)
summarizer = TextRankSummarizer(stemmer)
summarizer.stop_words = get_stop_words(LANGUAGE)
sentences = summarizer(parser.document, SENTENCES_COUNT)
summary = ""
for sentence in sentences:
summary += str(sentence) + ""
return summary
def generate_luhn_summary(research_paper_text):
nltk.download('punkt', quiet=True)
nltk.download('punkt_tab', quiet=True)
parser = PlaintextParser.from_string(research_paper_text, Tokenizer(LANGUAGE))
stemmer = Stemmer(LANGUAGE)
summarizer = LuhnSummarizer(stemmer)
summarizer.stop_words = get_stop_words(LANGUAGE)
sentences = summarizer(parser.document, SENTENCES_COUNT)
summary = ""
for sentence in sentences:
summary += str(sentence) + ""
return summary
def generate_lsa_summary(research_paper_text):
nltk.download('punkt', quiet=True)
nltk.download('punkt_tab', quiet=True)
parser = PlaintextParser.from_string(research_paper_text, Tokenizer(LANGUAGE))
stemmer = Stemmer(LANGUAGE)
summarizer = LsaSummarizer(stemmer)
summarizer.stop_words = get_stop_words(LANGUAGE)
sentences = summarizer(parser.document, SENTENCES_COUNT)
summary = ""
for sentence in sentences:
summary += str(sentence) + ""
return summary
def generate_temp_summary(pdf_path):
research_paper_text, length_of_research_paper = extract_text_from_pdf(pdf_path)
textrank_summary = generate_textrank_summary(research_paper_text)
luhn_summary = generate_luhn_summary(research_paper_text)
lsa_summary = generate_lsa_summary(research_paper_text)
temp_summary = textrank_summary.replace("\n", "") + luhn_summary.replace("\n", "") + lsa_summary.replace("\n", "")
return temp_summary, length_of_research_paper
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