Update app.py

app.py

@@ -34,7 +34,6 @@ def predict_tiebreak(odds1_input, odds2_input):
     bin_features = np.array([[mean_log_odds_bin, sum_prob_bin]])
     
     # Aplicar o OrdinalEncoder nas features binadas
-    encoder = OrdinalEncoder()
     encoded_features = encoder.fit_transform(bin_features)
     
     # Criar o vetor de features para o modelo