Update app.py

app.py

@@ -9,15 +9,15 @@ import os
 
 
 def predictAirPassengers(df, split):
-    #ts= pd.read_csv('AirPassengers.csv')
-    #df2 =ts.copy()
-    #ttSplit=split/100
-    #ts['Month']=pd.to_datetime(ts['Month'])
-    #ts.rename(columns={'#Passengers':'Passengers'},inplace=True)
-    #ts=ts.set_index(['Month'])
-    #ts['months'] = [x.month for x in ts.index]
-    #ts['years'] = [x.year for x in ts.index]
-    #ts.reset_index(drop=True, inplace=True)
+    ts= pd.read_csv('AirPassengers.csv')
+    df2 =ts.copy()
+    ttSplit=split/100
+    ts['Month']=pd.to_datetime(ts['Month'])
+    ts.rename(columns={'#Passengers':'Passengers'},inplace=True)
+    ts=ts.set_index(['Month'])
+    ts['months'] = [x.month for x in ts.index]
+    ts['years'] = [x.year for x in ts.index]
+    ts.reset_index(drop=True, inplace=True)
 
     # Split Data
     X=ts.drop("Passengers",axis=1)