Update app.py

app.py

@@ -33,14 +33,14 @@ def predict_sales(time_frame):
     last_date_value = df['Date'].iloc[-2]
     # Future forecast based on the time frame
     future_periods = {
-        '7 days': 7 * 24 * 60,
-        '10 days': 10 * 24 * 60,
-        '15 days': 15 * 24 * 60,
-        '1 month': 30 * 24 * 60
+        '7 days': 7 ,
+        '10 days': 10 ,
+        '15 days': 15 ,
+        '1 month': 30 
     }
 
     # Get the future time based on the selected time frame
-    future_time = model.make_future_dataframe(periods=future_periods[time_frame], freq='T')
+    future_time = model.make_future_dataframe(periods=future_periods[time_frame])
     current_time = pd.Timestamp.now()
 
     # Set the last historical date in the format 'MM/DD/YYYY HH:MM'