Update app.py

app.py

@@ -131,7 +131,7 @@ def newman(wins: npt.NDArray[np.int64], ties: npt.NDArray[np.int64],
 
 ALGORITHMS = {
     'Bradley-Terry (1952)': bradley_terry,
-    'PageRank': pagerank,
+    'PageRank (1998)': pagerank,
     'Newman (2023)': newman,
 }
 
@@ -179,6 +179,7 @@ def handler(file: IO[bytes], algorithm: str, seed: int) -> Tuple[pd.DataFrame, F
     scores = ALGORITHMS[algorithm](wins, ties, seed=seed)
 
     df_result = pd.DataFrame(data={'score': scores}, index=index)
+    df_result['pairs'] = df.groupby('left')['left'].count() + df.groupby('right')['right'].count()
     df_result['rank'] = df_result['score'].rank(na_option='bottom', ascending=False).astype(int)
     df_result.fillna(np.NINF, inplace=True)
     df_result.sort_values(by=['rank', 'score'], ascending=[True, False], inplace=True)
@@ -213,7 +214,7 @@ def main() -> None:
         ],
         outputs=[
             gr.Dataframe(
-                headers=['item', 'score', 'rank'],
+                headers=['item', 'score', 'pairs', 'rank'],
                 label='Ranking'
             ),
             gr.Plot(
@@ -222,6 +223,7 @@ def main() -> None:
         ],
         examples=[
             ['food.csv', 'Bradley-Terry (1952)', 0],
+            ['food.csv', 'PageRank (1998)', 0],
             ['food.csv', 'Newman (2023)', 0]
         ],
         title='Pair2Rank: Turn Your Side-by-Side Comparisons into Ranking!',