Update app.py

app.py

@@ -34,6 +34,11 @@ from sharp_ratio import(
     sharp_ratio_func
 )
 
+from arima import (
+    get_model_accuracy,
+    arima_chart
+)
+
 
         
 def load_heading():
@@ -258,6 +263,7 @@ The Heat map shows the correlation coefficient or value for each asset over the
 It also depicts the color of the intersection as darker for less correlation and lighter for more correlation, which could be either positive or negative. 
 The legend on the right indicates the absolute level of correlation for each color, again positive or negative associated to each color.\n 
         """
+        arima_chart(choices['choices'])
         
         display_heat_map(choices['data'],choices['choices'])
         #display_portfolio_return(choices['combined_df'], choices['choices'])