Update app.py

app.py

@@ -200,7 +200,7 @@ import gradio as gr
 def greet(paper):
     title_tfidf, categories_tfidf, abstract_tfidf, similarity_tfidf = get_recommendations_TFIDF(paper)
     title_doc2vec, categories_doc2vec, abstract_doc2vec, similarity_doc2vec = get_recommendations_Doc2Vec(paper)
-    return title_tfidf, categories_tfidf, abstract_tfidf, title_doc2vec, categories_doc2vec, abstract_doc2vec
+    return title_tfidf, categories_tfidf, abstract_tfidf, similarity_tfidf, title_doc2vec, categories_doc2vec, abstract_doc2vec, similarity_doc2vec
     
 title = '''SimSearch:\n
 A Similarity Search Tool for Research Paper Abstracts using NLP'''
@@ -212,10 +212,11 @@ demo = gr.Interface(
     outputs=[gr.outputs.Textbox(label='''TFIDF Title'''), 
              gr.outputs.Textbox(label='TFIDF Categories'), 
              gr.outputs.Textbox(label='TFIDF Abstract'),
-            #  gr.outputs.Textbox(label='Similarity')
+             gr.outputs.Textbox(label='TFIDF Similarity')
              gr.outputs.Textbox(label='''Doc2Vec Title'''), 
              gr.outputs.Textbox(label='Doc2Vec Categories'), 
              gr.outputs.Textbox(label='Doc2Vec Abstract'),
+             gr.outputs.Textbox(label='Doc2Vec Similarity'),
              ],
     examples = [
         # ['''In this paper we consider permutations of sequences of partitions, obtaining\na result which parallels von Neumann's theorem on permutations of dense\nsequences and uniformly distributed sequences of points.\n'''],