Update app.py

app.py

@@ -1,6 +1,11 @@
 import pickle
 import numpy as np
 
+## 
+token_value = "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"
+#Loading the pre-trained model and the tokenizer
+model_name = 'moro23/used-phones-price-prediction'
+
 def predict_single(customer, dv, model):
     X = dv.transform([customer])
     y_pred = model.predict(X)