Update app.py

app.py

@@ -12,7 +12,7 @@ data = pd.read_csv("mldata.csv")
 #load prediction model from notebook
 # pickleFile = open('rfweights (1).pkl','rb')
 pickelFile=open('dtreeweights.pkl','rb')
-rfmodel = pickle.load(pickleFile)
+rfmodel = pickle.load(pickelFile)
 
 #Obtain the categorical/nominal data because it is not coded according (but based on the first occurence, first come first assign number)
 #Therefore, need to read from the file to obtain the number.