.

app.py

@@ -14,7 +14,7 @@ exp_clf101 = setup(data = healthcare_stroke_data, target = 'stroke', session_id=
 best = compare_models(sort = 'AUC', n_select = 15)
 compare_model_results = pull()
             
-model = gr.inputs.Dropdown(adaclassifier3,label="Model")
+model = gr.inputs.Dropdown(list(compare_model_results['Model']),label="Model")
 gender = gr.inputs.Dropdown(choices=["Male", "Female"],label = 'gender')
 age = gr.inputs.Slider(minimum=1, maximum=100, default=data['age'].mean(), label = 'age')
 hypertension = gr.inputs.Dropdown(choices=["1", "0"],label = 'hypertension')