added 0 price change scenario

app.py

@@ -19,7 +19,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         serie = gr.Dropdown(choices = ['SOM', 'Volumen'], value = 'SOM', label = 'Serie', info = 'Choose the serie to forecast')
         periods = gr.Slider(minimum = 1, maximum = 12, step = 1, value = 3, label = 'Months', info = 'How many months to forecast')
-        percent_change = gr.Slider(minimum = -100, maximum = 100, step = 5, value = -5, label = 'Price Change', info = "Price change vs last year (%)")
+        percent_change = gr.Slider(minimum = -100, maximum = 100, step = 5, value = -5, label = 'Price change', info = "Price change vs last year (%)")
 
     with gr.Row():
         dataframe = gr.Dataframe(label = 'Predicted values')

get_forecast.py

@@ -44,11 +44,18 @@ def get_forecast(serie: str, periods, percent_change: int):
     # aux to plot
     last_obs = history.iloc[-1:][['ds', 'y']].rename(columns = {'y': 'yhat'})
     future_aux = pd.concat([last_obs, future_values])
+    
+    # 0 price change scenario
+    future_0 = future.copy()
+    future_0['precio_hl'] = past_prices
+    forecast_0 = model.predict(future_0)
+    values_0 = forecast_0[['ds', 'yhat']]
+    aux_0 = pd.concat([last_obs, values_0])
 
     # plot
     fig = plt.figure()
-    #plt.plot(history['ds'], history['y'], label = 'Historic data', marker = '.', color = 'C0')
     plt.plot(future_aux['ds'], future_aux['yhat'], label = 'Forecast', marker = '.', color = 'C1')
+    plt.plot(aux_0['ds'], aux_0['yhat'], label = 'No change', marker = '.', color = 'C2')
     plt.plot(history['ds'], history['y'], label = 'Historic data', marker = '.', color = 'C0')
     plt.xticks(rotation = 45)
     #plt.xlabel('Date')