Upload app.py

app.py

@@ -48,7 +48,7 @@ def predict_insurance_charge(age,sex,bmi,children,smoker,region):
     }
     
     data_point = pd.DataFrame([sample])
-    prediction = Insurance_charge_predictor(data_point).tolist()
+    prediction = Insurance_charge_predictor.predict(data_point).tolist()
 
     # While the prediction is made, log both the inputs and outputs to a  log file
     # While writing to the log file, ensure that the commit scheduler is locked to avoid parallel