Update app.py

app.py

@@ -9,7 +9,7 @@ data = pd.read_csv("mldata.csv")
 
 
 #load prediction model from notebook
-pickleFile = open('rfweights.pkl','rb')
+pickleFile = open('dtree.pkl','rb')
 rfmodel = pickle.load(pickleFile)
 
 #Obtain the categorical/nominal data because it is not coded according (but based on the first occurence, first come first assign number)