Update app.py

app.py

@@ -6,14 +6,14 @@ from sklearn.model_selection import cross_val_score
 import gradio as gr
 from sklearn.decomposition import PCA
 import json
-import joblib
+import pickle
 
 # Open and read the JSON file
 with open('fraud_mean_by_country.json', 'r') as json_file:
     fraud_mean_by_country_dict = json.load(json_file)
 
-# Load the model from the pickle file
-clf = joblib.load('decision_tree_model.pkl')
+with open("decision_tree_model.pkl", "rb") as file:
+    clf = pickle.load(file)
 
 # Predict using the decision tree classifier
 def predict(transaction_id, customer_id, merchant_id, amount, transaction_time, card_type, location, purchase_category, customer_age, transaction_description, country):