bugfix

app.py

@@ -9,7 +9,6 @@ model = SentenceTransformer("rufimelo/Legal-BERTimbau-sts-base")
 
 def compute_similarity(left_text: str, right_text: str) -> np.ndarray:
     embeddings = model.encode([left_text, right_text])
-    print(embeddings)
     similarity = cosine_similarity(embeddings[: 1], embeddings[1 :])
 
     return similarity
@@ -18,4 +17,4 @@ first = st.text_input('First', 'This is a test')
 second = st.text_input('Second', 'This is another test')
 
 s = compute_similarity(left_text=first, right_text=second)
-st.datafeame(s)
+st.dataframe(s)