Update app.py

app.py

@@ -1,7 +1,9 @@
+
 import streamlit as st
 import pandas as pd
 import pickle
-
+from sklearn.preprocessing import MinMaxScaler
+scaler = MinMaxScaler()
 # Load the fitted model
 model = pickle.load(open('model (10).pkl', 'rb'))
 
@@ -41,7 +43,7 @@ if st.button('Predict'):
                        eccentricity, extent, convex_area]]
     
     # Lakukan scaling pada input
-    input_features_scaled = model.transform(input_features)
+    input_features_scaled = scaler.transform(input_features)
     
     # Prediksi menggunakan model
     prediction = model.predict(input_features_scaled)