Update app.py

app.py

@@ -166,12 +166,14 @@ async def predict(predictionFeatures: RentalFeatures):
         # Conversion explicite des colonnes booléennes
         for col in BOOL_COLS:
             car_caracteristic[col] = car_caracteristic[col].astype(bool)
+        car_caracteristic=[car_caracteristic]
+        logger.info(f"Input  : {car_caracteristic}")    
         # Prediction from previously loaded model as a PyFuncModel.
         prediction = model.predict(car_caracteristic)
-
+        logger.info(f"Output  : {prediction}")  
         # Format response
         response = {
-            "prediction": prediction.tolist()[0],
+            "prediction": prediction[0],
             "detail": "Prédiction du tarif journalier (nul si aucun modèle : model.pkl).",
         }
         return response