Update app.py

app.py

@@ -153,7 +153,7 @@ async def predict(predictionFeatures: RentalFeatures):
     # ]
     try:
         payload = predictionFeatures.model_dump()
-        car_caracteristic = pd.DataFrame([payload])
+        car_characteristic = pd.DataFrame([payload])
         #car_caracteristic = pd.DataFrame({"Car": pf})
         # Log model from mlflow 
         BOOL_COLS = [
@@ -167,14 +167,14 @@ async def predict(predictionFeatures: RentalFeatures):
         ]
         # Conversion explicite des colonnes booléennes
         for col in BOOL_COLS:
-            car_caracteristic[col] = car_caracteristic[col].astype(bool)
+            car_characteristic[col] = car_characteristic[col].astype(bool)
 
         
         logger.info("Payload reçu: %s", payload)
         logger.info("dtypes:\n%s", car_characteristic.dtypes)
 
         # Prediction from previously loaded model as a PyFuncModel.
-        prediction = model.predict(car_caracteristic)
+        prediction = model.predict(car_characteristic)
         logger.info(f"Output  : {prediction}")  
         # Format response
         response = {