Update app.py

app.py

@@ -15,9 +15,9 @@ df.dropna(inplace=True)
 
 m = NeuralProphet(n_forecasts= 3,
     n_lags=12, 
-    changepoints_range=5, num_hidden_layers=6, daily_seasonality= False, weekly_seasonality = False, yearly_seasonality = True, ar_reg=True,
+    changepoints_range=1, num_hidden_layers=6, daily_seasonality= False, weekly_seasonality = False, yearly_seasonality = True, ar_reg=True,
     n_changepoints=150, trend_reg_threshold=True, d_hidden=9, global_normalization=True, global_time_normalization=True, seasonality_reg=1, unknown_data_normalization=True,
-    seasonality_mode="multiplicative", drop_missing=True, seasonality_reg=0.9,
+    seasonality_mode="multiplicative", drop_missing=True, 
     learning_rate=0.1
 )