Update app.py

app.py

@@ -34,7 +34,8 @@ def predict_tiebreak(odds1_input, odds2_input):
     bin_features = np.array([[mean_log_odds_bin, sum_prob_bin]])
     
     # Aplicar o OrdinalEncoder nas features binadas
-    encoded_features = encoder.transform(bin_features)
+    encoder = OrdinalEncoder()
+    encoded_features = encoder.fit_transform(bin_features)
     
     # Criar o vetor de features para o modelo
     features = np.array([[encoded_features[0][0], encoded_features[0][1], odds_ratio]])