Update app.py

app.py

@@ -72,7 +72,7 @@ with mod_container:
         for sentence1, sentence2 in zip(data['sentence1'], data['sentence2']):
           sentence_pairs.append([sentence1, sentence2])
         
-        simscore = PathFinder.predict([prompt])
+        simscore = loaded_model.predict([prompt])
         # sorting the df to get highest scoring xpath_container
         data['SBERT CrossEncoder_Score'] = loaded_model.predict(sentence_pairs)
         most_acc = data.head(5)