remove hardcoded model

app.py

@@ -51,7 +51,7 @@ def stacked_model(model1,model2,model3):
     X, y = load_ames_housing()
     estimators = []
     for model in [model1,model2,model3]:
-        download(repo_id="haizad/ames-housing-lasso-predictor", dst='temp_dir')
+        download(repo_id=model, dst='temp_dir')
         pipeline = joblib.load( "temp_dir/model.pkl")
         estimators.append((model.split('/')[-1], pipeline))
         shutil.rmtree("temp_dir")