more logs

app.py

@@ -18,6 +18,7 @@ embeddings = model.encode([left_text, right_text])
 
 st.toast("Legal-BERTimbau-sts-base: computing similarity...")
 similarity = cosine_similarity(embeddings[: 1], embeddings[1 :])
+st.info("Legal-BERTimbau-sts-base: score ->")
 st.dataframe(similarity)
 
 st.toast("Loading nlpaueb/legal-bert-base-uncased...")
@@ -28,4 +29,5 @@ embeddings = model.encode([left_text, right_text])
 
 st.toast("legal-bert-base-uncased: computing similarity...")
 similarity = cosine_similarity(embeddings[: 1], embeddings[1 :])
+st.info("legal-bert-base-uncased: score ->")
 st.dataframe(similarity)