Update app.py

app.py

@@ -1,3 +1,7 @@
+import streamlit as st
+
+st.title("Paraphrase Mining Example")
+
 from sentence_transformers import SentenceTransformer, util
 model = SentenceTransformer('all-MiniLM-L6-v2')
 
@@ -19,4 +23,5 @@ cosine_scores = util.cos_sim(embeddings1, embeddings2)
 
 #Output the pairs with their score
 for i in range(len(sentences1)):
-    print("{} \t\t {} \t\t Score: {:.4f}".format(sentences1[i], sentences2[i], cosine_scores[i][i]))
+    st.text("{} \t\t {} \t\t Score: {:.4f}".format(sentences1[i], sentences2[i], cosine_scores[i][i]))
+