Update app.py

app.py

@@ -233,12 +233,14 @@ def dynamic_forecasting():
     st.subheader("Dynamic Model Selection and Forecasting")
     dynamic_model_choice = st.selectbox("Select model for dynamic forecasting", ["NHITS", "TimesNet", "LSTM", "TFT"], key="dynamic_model_choice")
     dynamic_horizon = st.number_input("Forecast horizon", value=18)
-    
+    dynamic_max_steps = st.number_input('Max steps', value=200)
+
+
     # Determine frequency of data
     frequency = determine_frequency(df)
     st.write(f"Detected frequency: {frequency}")
     
-    forecast_time_series(df, dynamic_model_choice, frequency, dynamic_horizon)
+    forecast_time_series(df, dynamic_model_choice, frequency, dynamic_horizon, dynamic_max_steps)
     
 # Define the main navigation
 pg = st.navigation({