Update app.py

app.py

@@ -20,7 +20,11 @@ def predict(text):
     term_embedding = term_outputs.mean(dim=1)
     #term_embedding = term_outputs.last_hidden_state.mean(dim=1)
     semantic_score = cosine_similarity(title_embedding.flatten(), term_embedding.flatten()) * 100
-    return str(format(semantic_score,'.2f'))
+    return title_embedding #str(format(semantic_score,'.2f'))
+
+
+
+    
 def predict1(text):
     return(text)