Update app.py

app.py

@@ -22,6 +22,7 @@ def usatt_rating_analyzer(file_obj):
     most_frequent_opponents = mp.make_df_columns_readable(mp.get_most_frequent_opponents(df), is_tournament)
     best_wins = mp.make_df_columns_readable(mp.get_best_wins(df), is_tournament)
     biggest_upsets = mp.make_df_columns_readable(mp.get_biggest_upsets(df), is_tournament)
+    worst_recent_losses = mp.make_df_columns_readable(mp.get_worst_recent_losses(df, is_tournament), is_tournament)
     highest_rated_opponent = mp.make_df_columns_readable(mp.get_highest_rated_opponent(df), is_tournament)
     rating_over_time_fig = mp.get_rating_over_time_fig(df, is_tournament)
     match_with_longest_game = mp.make_df_columns_readable(mp.get_match_with_longest_game(df, is_tournament), is_tournament)
@@ -38,6 +39,7 @@ def usatt_rating_analyzer(file_obj):
             opponent_rating_dist_over_time_fig,
             best_wins,
             biggest_upsets,
+            worst_recent_losses,
             best_competitions,
             most_frequent_opponents,
             highest_rated_opponent,
@@ -102,7 +104,7 @@ with gr.Blocks() as demo:
 
         gr.Markdown("""<br />
 
-        ## Best Matches
+        ## Best and Worst Matches
 
         <br />
         """)
@@ -113,6 +115,9 @@ with gr.Blocks() as demo:
                                              max_rows=5)
                 biggest_upsets_gdf = gr.Dataframe(label="Biggest upsets (matches won sorted by rating - opponent post-competition rating)",
                                                   max_rows=5)
+                worst_recent_losses_gdf = gr.Dataframe(label="Worst recent losses (matches lost sorted by rating - "
+                                                             "opponent post-competition rating from the 5 most recent "
+                                                             "competitions)", max_rows=5)
 
         gr.Markdown("""<br />
         
@@ -151,6 +156,7 @@ with gr.Blocks() as demo:
         opponent_rating_dist_over_time_plot,
         best_wins_gdf,
         biggest_upsets_gdf,
+        worst_recent_losses_gdf,
         best_competitions_gdf,
         most_frequent_opponents_gdf,
         highest_rated_opponent_gdf,