.

app.py

@@ -13,7 +13,7 @@ healthcare_stroke_data['work_type'] = encoder.fit_transform(healthcare_stroke_da
 exp_clf101 = setup(data = healthcare_stroke_data, target = 'stroke', session_id=123)
 adaclassifier3= create_model('ada',fold = 10)
             
-model = gr.inputs.Dropdown(list(compare_model_results[adaclassifier3]),label="Model")
+model = gr.inputs.Dropdown(adaclassifier3,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')