Update app.py

app.py

@@ -38,7 +38,7 @@ m = CustomNeuralProphet(
     learning_rate=0.03,
 )
 
-m.fit(df, freq='D', epochs=10, validate_each_epoch=True, valid_p=0.2)
+m.fit(df, freq='D')
 
 future = m.make_future_dataframe(df, periods=30, n_historic_predictions=True)
 forecast = m.predict(future)