edited script

app.py

@@ -270,7 +270,7 @@ def run_all_steps(ticker):
     return q_cash_flow_statement.reset_index(), final_cash_flow_statement.reset_index(), q_balance_statement.reset_index(), fig_cash_flow, \
         str(EPS_growth_5Y) + '%', str(EPS_growth_6Y_to_10Y) + '%', str(long_term_growth_rate) + '%', \
         beta, shares_outstanding, current_price, \
-        str(discount_rate) + '%', forecast_cash_flows_df.reset_index(), terminal_value, intrinsic_value, fig_cash_forecast, margin_of_safety
+        str(discount_rate) + '%', forecast_cash_flows_df.reset_index(), terminal_value, intrinsic_value, fig_cash_forecast, str(margin_of_safety) + '%'
       
 
 # Gradio App and UI

app.py.bak

@@ -139,7 +139,8 @@ def parse_finviz_dict(finviz_dict):
             EPS_growth_5Y = finviz_dict['EPS next Y']
     EPS_growth_6Y_to_10Y = EPS_growth_5Y/2  # Half the previous growth rate, conservative estimate
     # Long term = previous growth rate or around long term inflation rate, whichever is lower to be conservative estimate
-    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)  shares_outstanding = finviz_dict['Shs Outstand']
+    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)
+    shares_outstanding = finviz_dict['Shs Outstand']
     beta = finviz_dict['Beta']
     current_price = finviz_dict['Price']