Update app.py

app.py

@@ -36,8 +36,8 @@ def scaler(data, runtime = False):
 X_train = scaler(X_train)
 X_test = scaler(X_test, True)
 
-rf_model = RandomForestClassifier(max_depth = 5)
-rf_model.fit(X_train, y_train)
+model = RandomForestClassifier(max_depth = 5)
+model.fit(X_train, y_train)
 
 features = {
     "person_home_ownership": ['MORTGAGE', 'OTHER','OWN', 'RENT',],
@@ -76,7 +76,7 @@ def credit_run(person_age, person_income, person_home_ownership,
                    'cb_person_cred_hist_length': cb_person_cred_hist_length
                   }, index = [0]
     ))
-    out = rf_model.predict(model_input)
+    out = model.predict(model_input)
     return "High risk of defaulting" if out[0] == 1 else "Low risk of defaulting" 
 
 demo = gr.Interface(
@@ -93,14 +93,6 @@ demo = gr.Interface(
         gr.Radio(['N', 'Y'],label="Person Defaulted in History"),
         gr.Number(label="Person's Credit History Length"),
              ],
-
-
-
-
-
-
-
-    
     outputs = gr.Radio(['Low risk of defaulting', 'High risk of defaulting']),
     title = "Non Payment Credit Risk Predictor",
     theme=gr.themes.Soft(),