Update app.py

app.py

@@ -4,13 +4,13 @@ import numpy as np
 
 # Load the trained models
 with open('rf_crop.pkl', 'rb') as file:
-    crop_model = pickle.load(file)
+    crop_model = pickle.load(file, errors='ignore')
 
 with open('knn_fertilizer.pkl', 'rb') as file:
-    fertilizer_model = pickle.load(file)
+    fertilizer_model = pickle.load(file, errors='ignore')
     
 with open('Scaler_fertilizer.pkl', 'rb') as file:  # Assuming you saved the scaler during model training
-    scaler = pickle.load(file)
+    scaler = pickle.load(file, errors='ignore')
 
 # Label Encoders for the models
 crop_label_encoder = {