Update app.py

app.py

@@ -53,6 +53,10 @@ def get_similarity(text1, text2, pooling_method, model_id):
     use_mean_pooling = pooling_method == "Use Mean Pooling"
     embedding1 = get_embedding(text1, use_mean_pooling, model_id)
     embedding2 = get_embedding(text2, use_mean_pooling, model_id)
+    print("----E1----")
+    print(embedding1)
+    print("----E2----")
+    print(embedding2)
     return torch.nn.functional.cosine_similarity(embedding1, embedding2).item()