Update app.py

app.py

@@ -6,7 +6,15 @@ import numpy as np
 model = joblib.load("tiebreak_model.pkl")
 
 # Função para realizar a previsão
-def predict_tiebreak(win_odds, loser_odds):
+def predict_tiebreak(win_odds_input, loser_odds_input):
+    # Converter vírgulas para pontos caso necessário
+    win_odds_input = str(win_odds_input).replace(',', '.')
+    loser_odds_input = str(loser_odds_input).replace(',', '.')
+
+    # Converter para float
+    win_odds = float(win_odds_input)
+    loser_odds = float(loser_odds_input)
+    
     # Calculando as features
     odds_ratio = win_odds / loser_odds
     log_odds_w = np.log(win_odds)
@@ -24,8 +32,11 @@ def predict_tiebreak(win_odds, loser_odds):
     # Calculando a odds mínima
     odds_minima = 1 / prob
     
-    # Retornando os valores arredondados
-    return round(prob, 2), round(odds_minima, 2)
+    # Formatando a probabilidade para percentual com duas casas decimais
+    prob_percent = f"{round(prob * 100, 2)}%"
+    
+    # Retornando os valores
+    return prob_percent, round(odds_minima, 2)
 
 # Interface Gradio
 inputs = [gr.Number(label="Win Odds"), gr.Number(label="Loser Odds")]