Update app.py

app.py

@@ -102,7 +102,7 @@ def summary_1(text):
   ## summarizing
   similarity_matrix = cosine_similarity(sentence_embeddings)
 
-  num_sentences = 2
+  num_sentences = 3
   summary_sentences = []
   for i in range(num_sentences):
     sentence_scores = list(enumerate(similarity_matrix[i]))
@@ -128,10 +128,10 @@ def summary_2(text):
       most_freq_words_p.append(mfwp)
 
   sentences = sent_tokenize(text)
-  summary2= []
+  summary2 = []
   for sent in sentences:
     for word in sent.split():
-      if word in most_freq_words_p and sent not in summary:
+      if word in most_freq_words_p and sent not in summary2:
         summary2.append(sent)
       else :
         None