Update app.py

app.py

@@ -598,6 +598,7 @@ def runapp() -> None:
                     st.subheader("Summarized Results")
                     if df.empty:
                         st.error("Oops! None of the data provided matches your selection(s). Please try again.")
+                        no_errors = False 
                     else:
                         st.dataframe(results_df.style.format({'Win Rate': '{:.2f}%','Profit Factor' : '{:.2f}', 
                                                               'Avg. P/L (%)': '{:.2f}%', 'Cum. P/L (%)': '{:.2f}%', 
@@ -908,7 +909,7 @@ def runapp() -> None:
                                         f"{get_rolling_stats(df,lev, otimeheader, 180):.2f}%",
                                     )
             
-            if bot_selections == "Cinnamon Toast":
+            if bot_selections == "Cinnamon Toast" and no_errors:
                 if submitted:                     
                     grouped_df = df.groupby('Exit Date').agg({'Signal':'min','Entry Date': 'min','Exit Date': 'max','Buy Price': 'mean',
                                              'Sell Price' : 'max',
@@ -935,7 +936,7 @@ def runapp() -> None:
                                                'P/L per token':'Net P/L'}, inplace=True)
                 
             else: 
-                if submitted: 
+                if submitted and not(df.empty): 
                     grouped_df = df.groupby('Exit Date').agg({'Signal':'min','Entry Date': 'min','Exit Date': 'max','Buy Price': 'mean',
                                              'Sell Price' : 'max',
                                              'Net P/L Per Trade': 'mean',