Update app.py

app.py

@@ -30,7 +30,7 @@ def convert_and_predict(age, sex, cp, trestbps, chol, fbs, restecg, thalach, exa
 
     return f'{predictions[0][0]:.2%}'
 
-## gradio interface elements
+
 inputs = [
           gr.Slider(minimum=1, maximum=120, step=1, label='age', value=60),
           gr.Radio(choices=['female','male'], label='sex', type='index',value='male'),
@@ -48,11 +48,10 @@ inputs = [
           gr.Radio(choices=['no','yes',], type='index', label='exercise induced angina',value='no'),
           gr.Number(label='ST depression induced by exercise relative to rest', value=2.3),
           gr.Radio(choices=['psloping','flat','downsloping'], label='slope of the peak exercise ST segment', type='index', value='downsloping'),
-          gr.Number(label ='number of major vessels (0-3) colored by flourosopy',value=0),
+          gr.Number(minimum=0, maximum=3, label ='number of major vessels (0-3) colored by flourosopy',value=0),
           gr.Radio(['normal','fixed','reversable'],label ='thal', value='fixed')
           ]
 
-
 # the app outputs text
 output = gr.Textbox(label='Probability of having a heart disease, as evaluated by our model:')
 # it's good practice to pass examples, description and a title to guide users
@@ -63,5 +62,5 @@ examples = [[63, 1, 1, 145, 233, 1, 2, 150, 0, 2.3, 3, 0, 'fixed'],
             [67, 1, 4, 160, 286, 0, 2, 108, 1, 1.5, 2, 3, 'normal'],
             [67, 1, 4, 120, 229, 0, 2, 129, 1, 2.6, 2, 2, 'reversible']]
 
-gr.Interface(convert_and_predict, inputs, output, examples= examples, allow_flagging=False, analytics_enabled=False,
+gr.Interface(convert_and_predict, inputs, output, examples= examples, allow_flagging=False,
   title=title, description=description).launch()