update preprocessing model

app.py

@@ -145,7 +145,7 @@ async def predict(preprocessingFeatures: PreprocessingFeatures):
     list_text = [preprocessingFeatures.tweet]
 
     # Load model from MLflow
-    logged_model = 'runs:/08b34287ab0248f6b199121bff56fc86/text_preprocessor'
+    logged_model = 'runs:/89b183556cf34460858d94125f8df98d/text_preprocessor'
     loaded_model = mlflow.pyfunc.load_model(logged_model)
 
     df = pd.DataFrame(list_text,columns=['tweet'])