Update app.py

app.py

@@ -430,7 +430,7 @@ def server(input,output,session):
         hard_hit_text = ['90th %','75th %','25th %','10th %']
         for i, x in enumerate(hard_hit_dates):
                 ax.text(min(win+win/1000,win+win+5), x ,hard_hit_text[i], rotation=0,va='center', ha='left',
-                        bbox=dict(facecolor='white',alpha=0.7, edgecolor=colour_palette[2+i], pad=2),zorder=11)
+                        bbox=dict(facecolor='white',alpha=0.7, edgecolor=colour_palette[2+i], pad=2),zorder=111)
 
         # # Annotate with an arrow
         # ax.annotate('June 6, 2023\nSeason Worst Decision Value', xy=(976, df_will.y_pred.rolling(window=win).mean().min()*100-0.03),
@@ -524,7 +524,7 @@ def server(input,output,session):
         hard_hit_text = ['90th %','75th %','25th %','10th %']
         for i, x in enumerate(hard_hit_dates):
                 ax.text(min(win+win/1000,win+win+5), x ,hard_hit_text[i], rotation=0,va='center', ha='left',
-                        bbox=dict(facecolor='white',alpha=0.7, edgecolor=colour_palette[2+i], pad=2),zorder=11)
+                        bbox=dict(facecolor='white',alpha=0.7, edgecolor=colour_palette[2+i], pad=2),zorder=111)
 
         # # Annotate with an arrow
         # ax.annotate('June 6, 2023\nSeason Worst Decision Value', xy=(976, df_will.y_pred.rolling(window=win).mean().min()*100-0.03),