Update app.py

app.py

@@ -5,6 +5,8 @@ from textblob import TextBlob
 from sentence_transformers import SentenceTransformer
 from sklearn.metrics.pairwise import cosine_similarity
 
+model = SentenceTransformer('paraphrase-xlm-r-multilingual-v1')
+
 sentences = \
     [
      "I have a bigger house than you", 
@@ -19,6 +21,13 @@ for sentence, embedding in zip(sentences, sentence_embeddings):
     print("")
     
 print('Similarity between {} and {} is {}'.format(sentences[0],
+       sentences[1],
+       cosine_similarity(sentence_embeddings[0].reshape(1, -1),
+       sentence_embeddings[1].reshape(1, -1))[0][0]))
+       
+st.title("Similarity text")
+
+st.write('Similarity between {} and {} is {}'.format(sentences[0],
        sentences[1],
        cosine_similarity(sentence_embeddings[0].reshape(1, -1),
        sentence_embeddings[1].reshape(1, -1))[0][0]))