Update app.py

app.py

@@ -1,8 +1,12 @@
 import gradio as gr
 import joblib
+
 # Load the trained model
 model = joblib.load("loan_classifier.joblib")
 
+# Load Standared Scaler
+scalar = joblib.load("std_scaler.bin")
+
 
 def predict_loan_status(
     int_rate,
@@ -34,7 +38,8 @@ def predict_loan_status(
     }
     # Convert the dictionary to a 2D array
     input_array = [list(input_dict.values())]
-    prediction = model.predict(input_array)[0]
+    scaled_array = scalar.transform(input_array)
+    prediction = model.predict(scaled_array)[0]
 
     if prediction == 0:
         return "Loan fully paid"