Update app.py

app.py

@@ -2,8 +2,7 @@
 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'))
 
@@ -34,8 +33,8 @@ convex_area = st.number_input('Convex hull (convex area)', min_value=18068.0, ma
 
 # Tombol untuk memprediksi
 if st.button('Predict'):
-    # Muat scaler
-    
+        # Muat scaler
+    scaler = pickle.load(open('scaler.pkl', 'rb'))
     
     # Input dari pengguna
     input_features = [[length_major_axis, width_minor_axis, thickness_depth, area,
@@ -49,6 +48,7 @@ if st.button('Predict'):
     prediction = model.predict(input_features_scaled)
 
 
+
     # Menggunakan mapping untuk mendapatkan nama tipe almond
     predicted_class_name = class_mapping[prediction[0]]