Update app.py

app.py

@@ -61,7 +61,10 @@ input_data[num_features] = scaler.transform(input_data[num_features])
 
 # Add the additional feature (not part of scaling)
 input_data['loan_amnt_by_income'] = [loan_amnt_by_income]
-input_data['cibil_score'] = cibil_score  # Add cibil_score directly without scaling
+
+# Drop the 'cibil_score' before making predictions as it was not part of the training data
+input_data['cibil_score'] = cibil_score  # Add cibil_score for other uses, if needed
+input_data = input_data[num_features + ['loan_amnt_by_income']]  # Only keep features the model knows
 
 # Predict using the model
 if st.button('Predict'):