Update app.py

app.py

@@ -119,6 +119,7 @@ async def predict(predictionFeatures: RentalFeatures):
     # ]
 
     car_caracteristic = pd.DataFrame([predictionFeatures.model_dump()])
+    print(car_caracteristic)
     #car_caracteristic = pd.DataFrame({"Car": pf})
 
     # Log model from mlflow
@@ -133,4 +134,5 @@ async def predict(predictionFeatures: RentalFeatures):
         "prediction": prediction.tolist()[0],
         "detail": "Prédiction du tarif journalier (nul si aucun modèle : model.pkl).",
     }
+    print(response)
     return response