Update app.py

app.py

@@ -14,13 +14,17 @@ model_columns = joblib.load(columns_path)
 # Prediction function
 def predict_player(player: dict):
     try:
+        print("Received:", player)   # <--- log input
         df = pd.DataFrame([player])
-        df = df[model_columns]  # align with training columns
+        df = df[model_columns]
         prediction = model.predict(df)
-        return float(prediction[0])  # float is safer than int for regression
+        print("Prediction:", prediction)  # <--- log output
+        return float(prediction[0])
     except Exception as e:
+        print("Error:", e)  # <--- log errors
         return {"error": str(e)}
 
+
 # Gradio Interface
 iface = gr.Interface(
     fn=predict_player,