Update app.py

app.py

@@ -4,14 +4,14 @@ 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'
+#model_name = 'moro23/used-phones-price-prediction'
 
 def predict_single(customer, dv, model):
     X = dv.transform([customer])
     y_pred = model.predict(X)
     return y_pred[0]
 
-with open(model_name, 'rb') as f_in:
+with open('price-prediction-model.bin', 'rb') as f_in:
     dv, model = pickle.load(f_in)