Update app.py

app.py

@@ -21,7 +21,14 @@ embeddings2 = model.encode(sentences2, convert_to_tensor=True)
 #Compute cosine-similarities
 cosine_scores = util.cos_sim(embeddings1, embeddings2)
 
+(col1, col2, score_col)= st.columns(3)
+col1.header("first sentence")
+col2.header("second sentence")
+score_col.header("score")
 #Output the pairs with their score
 for i in range(len(sentences1)):
-    st.text("{} \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]))
+    col1.write(sentences1[i])
+    col2.write(sentences2[i])
+    score_col.write(cosine_scores[i][i])