Update app.py

app.py

@@ -47,6 +47,14 @@ async def predict(item: Item):
         # La méthode `model_dump()` de Pydantic est plus sûre que de reconstruire le dict à la main
         car_df = pd.DataFrame([item.model_dump()])
 
+        os.environ["APP_URI"] = "https://ericjedha-getaroundml.hf.space"
+        EXPERIMENT_NAME = "08_GETAROUND"
+        # Set experiment's info 
+        mlflow.set_experiment(EXPERIMENT_NAME)
+
+        # Get our experiment info
+        experiment = mlflow.get_experiment_by_name(EXPERIMENT_NAME)
+
         # Charger le modèle depuis mlflow
         logged_model = 'runs:/8d6657ebb69943f298f1124df0db622f/xgboost_ridge_pipeline'