Update app.py

app.py

@@ -52,15 +52,15 @@ def forecast_plot(forecast_days,test_days, days):
     Return the figure object.
     '''
 
-   fig, ax = plt.subplots(figsize=(14, 4))
-   ax.plot(forecast_days['ds'], forecast_days['yhat'], label='Forecast', color='green')
-   ax.scatter(test_days['ds'], test_days['y'], label='Actual', color='orange')
-   ax.set_xlabel('Date')
-   ax.set_ylabel('MGW')
-   plt.title(f'Prophet Forecast - Model 3 - {days} days horizon')
-   plt.legend()
-
-   return fig
+    fig, ax = plt.subplots(figsize=(14, 4))
+    ax.plot(forecast_days['ds'], forecast_days['yhat'], label='Forecast', color='green')
+    ax.scatter(test_days['ds'], test_days['y'], label='Actual', color='orange')
+    ax.set_xlabel('Date')
+    ax.set_ylabel('MGW')
+    plt.title(f'Prophet Forecast - Model 3 - {days} days horizon')
+    plt.legend()
+
+    return fig
 
 def mean_absolute_percentage_error(y_true, y_pred):
     '''Calculate and return the Mean Absolute Percentage Error (MAPE) between actual values (y_true) and predicted values (y_pred).'''