add ngrams

app.py

@@ -120,7 +120,7 @@ def get_recommendations_TFIDF(abstract):
   corpus = pd.concat([train_corpus, pd.Series(abstract)], ignore_index=True)
 
   # Initialize an instance of tf-idf Vectorizer
-  tfidf_vectorizer = TfidfVectorizer()
+  tfidf_vectorizer = TfidfVectorizer(ngram_range=(1, 2))
   # Generate the tf-idf vectors for the corpus
   tfidf_matrix = tfidf_vectorizer.fit_transform(corpus)