Update app.py

app.py

@@ -10,22 +10,22 @@ import nltk
 nltk.download('punkt')
 
 
-def summarize(algorithm, language, sentence_count, input_type, input_):
-  if algorithm == 'LSA':
+def summarize(method, language, sentence_count, input_type, input_):
+  if method== 'LSA':
     from sumy.summarizers.lsa import LsaSummarizer as Summarizer
-  if algorithm =='text-rank':
+  if method=='text-rank':
     from sumy.summarizers.text_rank import TextRankSummarizer as Summarizer
-  if algorithm =='lex-rank':
+  if method=='lex-rank':
     from sumy.summarizers.lex_rank import LexRankSummarizer as Summarizer
-  if algorithm =='edmundson':
+  if method=='edmundson':
     from sumy.summarizers.edmundson import EdmundsonSummarizer as Summarizer
-  if algorithm =='luhn':
+  if method=='luhn':
     from sumy.summarizers.luhn import LuhnSummarizer as Summarizer
-  if algorithm =='kl-sum':
+  if method=='kl-sum':
     from sumy.summarizers.kl import KLSummarizer as Summarizer
-  if algorithm =='random':
+  if method=='random':
     from sumy.summarizers.random import RandomSummarizer as Summarizer
-  if algorithm =='reduction':
+  if method=='reduction':
     from sumy.summarizers.reduction import ReductionSummarizer as Summarizer
 
   if input_type=="URL":
@@ -37,7 +37,7 @@ def summarize(algorithm, language, sentence_count, input_type, input_):
   summarizer = Summarizer(stemmer)
   stop_words = get_stop_words(language)
 
-  if algorithm=='edmundson':
+  if method=='edmundson':
     summarizer.null_words = stop_words
     summarizer.bonus_words = parser.significant_words
     summarizer.stigma_words = parser.stigma_words