Update app.py

app.py

@@ -67,7 +67,7 @@ def run():
         predicted_label = np.argmax(classes)
     
         # Assuming df_car_info and df_income_info are available
-        result = calculate_cicilan(predicted_label, df_car_info, df_income_info)
+        result = calculate_cicilan(predicted_label)
     
         st.write("Hasil Prediksi:")
         if result is not None: