Add dupe formatting for duplication frame in app.py

- Introduced a new formatting dictionary for duplicate metrics, enhancing the display of 'uniques%', 'under_5%', and 'under_10%' in the duplication frame.
- Updated the DataFrame formatting to utilize the new dictionary, improving clarity and consistency in data presentation.

app.py

@@ -71,6 +71,7 @@ def is_valid_input(file):
         return file is not None  # For Streamlit uploader objects
 
 player_exposure_format = {'Exposure Overall': '{:.2%}', 'Exposure Top 1%': '{:.2%}', 'Exposure Top 5%': '{:.2%}', 'Exposure Top 10%': '{:.2%}', 'Exposure Top 20%': '{:.2%}'}
+dupe_format = {'uniques%': '{:.2%}', 'under_5%': '{:.2%}', 'under_10%': '{:.2%}'}
 
 tab1, tab2 = st.tabs(["Data Load", "Contest Analysis"])
 with tab1:
@@ -187,7 +188,7 @@ with tab2:
                 axis=1
             )
             working_df['dupes'] = working_df.groupby('sorted').transform('size')
-            
+
             working_df['uniques'] = working_df.groupby('BaseName').apply(
                 lambda x: (x['dupes'] == 1).sum()
             ).reindex(working_df['BaseName']).values
@@ -450,4 +451,4 @@ with tab2:
                 st.dataframe(st.session_state['duplication_frame'].style.
                              background_gradient(cmap='RdYlGn', subset=['uniques%', 'under_5%', 'under_10%'], axis=0).
                              background_gradient(cmap='RdYlGn_r', subset=['uniques', 'under_5', 'under_10'], axis=0).
-                             format(precision=2), hide_index=True)
+                             format(dupe_format, precision=2), hide_index=True)