Update app.py

app.py

@@ -3,17 +3,6 @@ import numpy as np
 import pickle
 import streamlit.components.v1 as components
 from sklearn.preprocessing import LabelEncoder
-import os
-
-if os.path.exists('label_encoder.pkl'):
-    try:
-        with open('label_encoder.pkl', 'rb') as f:
-            le = pickle.load(f)
-    except Exception as e:
-        print(f"Error loading the label encoder: {e}")
-else:
-    print("File 'label_encoder.pkl' does not exist.")
-
 
 # Load the pickled model
 def load_model():