Update app.py

app.py

@@ -118,7 +118,7 @@ async def predict(predictionFeatures: RentalFeatures):
     car_caracteristic = pd.DataFrame({"Car": pf})
 
     # Log model from mlflow
-    logged_model = "models:/getaround-price-prediction-model-linear-regression/9"  # REPLACE WITH YOUR OWN RUN ID
+    logged_model = "models:/getaround-price-prediction-model/versions/2"  # REPLACE WITH YOUR OWN RUN ID
 
     # Load model as a PyFuncModel.
     loaded_model = mlflow.pyfunc.load_model(logged_model)