Update app.py

app.py

@@ -84,21 +84,21 @@ demo = gr.Interface(
     fn = credit_run,
     inputs = [
         gr.Slider(label="Person Age(In Years)", minimum=18, maximum=90, step=1),
-        gr.Number(label="person income(per month)"),
-        gr.Radio(['MORTGAGE', 'OTHER','OWN', 'RENT']),
-        gr.Slider(label="person emp length(In Years)", minimum=0, maximum=60, step=1),
-        gr.Radio(['DEBTCONSOLIDATION', 'EDUCATION', 'HOMEIMPROVEMENT', 'MEDICAL', 'PERSONAL', 'VENTURE']),
-        gr.Radio(['A','B', 'C', 'D', 'E','F', 'G']),
-        gr.Number(label="loan amnt"),
-        gr.Number(label="loan int rate"),
-        gr.Radio(['0', '1']),
-        gr.Number(label="cb personcred hist length"),
+        gr.Number(label="Person Income(per month)"),
+        gr.Radio(['MORTGAGE', 'OTHER','OWN', 'RENT'],label="Home Ownership Status"),
+        gr.Slider(label="Pererson Emp Length(In Years)", minimum=0, maximum=60, step=1),
+        gr.Radio(['DEBTCONSOLIDATION', 'EDUCATION', 'HOMEIMPROVEMENT', 'MEDICAL', 'PERSONAL', 'VENTURE'],label="Credit Intent"),
+        gr.Radio(['A','B', 'C', 'D', 'E','F', 'G'],label="Type Of Credit"),
+        gr.Number(label="Loan Amount"),
+        gr.Number(label="Loan Interest Rate"),
+        gr.Radio(['N', 'Y'],label="Person Defaulted in History"),
+        gr.Number(label="Person's Credit History Length"),
              ],
     outputs = "text",
     title = "Credit Risk Predictor",
-    examples = [[23,25000,'RENT',2,'EDUCATION','A',30000,8.9,'0',6],
-[34,50000,'OWN',1,'MEDICAL','B',62000,10.65,'0',3],
-[42,30000,"MORTGAGE",12,'HOMEIMPROVEMENT','C',800000,7.9,'1',8],
-[42,20000,"MORTGAGE",10,'PERSONAL','F',100000,15.25,'1',5]]
+    examples = [[23,25000,'RENT',2,'EDUCATION','A',30000,8.9,'N',6],
+[34,50000,'OWN',1,'MEDICAL','B',62000,10.65,'N',3],
+[42,30000,"MORTGAGE",12,'HOMEIMPROVEMENT','C',800000,7.9,'Y',8],
+[42,20000,"MORTGAGE",10,'PERSONAL','F',100000,15.25,'Y',5]]
 )
 demo.launch(debug=True)