Create app.py

app.py

@@ -0,0 +1,19 @@
+import pickle
+import numpy as np
+
+def predict_single(customer, dv, model):
+    X = dv.transform([customer])
+    y_pred = model.predict(X)
+    return y_pred[0]
+
+with open('price-prediction-model.bin', 'rb') as f_in:
+    dv, model = pickle.load(f_in)
+
+
+used_phone_sample = {
+
+}
+
+prediction = predict_single(used_phone_sample, dv, model)
+
+print(f'prediction: {round(prediction,2)}')