Update app.py

app.py

@@ -295,7 +295,8 @@ def main() -> None:
             ['food.csv', 'Bradley-Terry (1952)', False, False],
             ['food.csv', 'Eigenvector (1986)', False, False],
             ['food.csv', 'PageRank (1998)', False, False],
-            ['food.csv', 'Newman (2023)', False, False]
+            ['food.csv', 'Newman (2023)', False, False],
+            ['llmfao.csv', 'Bradley-Terry (1952)', False, True],
         ],
         title='Pair2Rank: Turn Your Side-by-Side Comparisons into Ranking!',
         description='''
@@ -310,11 +311,10 @@ As an input, it expects a comma-separated (CSV) file with a header containing th
 Possible values for `winner` are `left`, `right`, or `tie`. The provided examples might be a good starting point.
 
 As the output, this tool provides a table with items, their estimated scores, and ranks.
-        ''',
+        '''.strip(),
         article='''
-This tool attempts to implement the tie-aware ranking aggregation algorithm as described in
-[Efficient Computation of Rankings from Pairwise Comparisons](https://www.jmlr.org/papers/v24/22-1086.html).
-        ''',
+Read more about Pair2Rank at <https://evalovernite.substack.com/p/llmfao-human-ranking>.
+        '''.strip(),
         allow_flagging='never'
     )