edit model

app.py

@@ -3,12 +3,13 @@ import pandas as pd
 import joblib
 
 data = pd.read_csv(r"data_final.csv")
+model = joblib.load("KNN_Model.joblib")
 
 def product_recommender(customer_id):
     list_predicted = []
     
     for id in data['product_id'].unique():
-        preds = list(algo.predict(customer_id, id))
+        preds = list(model.predict(customer_id, id))
         product_id = preds[1]
         product_score = preds[3]