Update app.py

app.py

@@ -213,14 +213,14 @@ def handler(
 
     fig = visualize(df_pairwise)
 
-    df_result["score"] = df_result["score"].apply(lambda x: f"{x:.03f}")
-
     if "ci" in df_result.columns:
         df_result["ci"] = df_result.apply(
             lambda row: f"({row['score'] - row['ci'][0]:.03f}; {row['ci'][1] - row['score']:.03f})",
             axis=1,
         )
 
+    df_result["score"] = df_result["score"].apply(lambda x: f"{x:.03f}")
+
     return df_result, fig
 
 
@@ -269,14 +269,14 @@ def main() -> None:
             ),
         ],
         examples=[
-            ["food.csv", "Counting", False, False],
-            ["food.csv", "Bradley-Terry (1952)", False, False],
-            ["food.csv", "Eigenvector (1987)", False, False],
-            ["food.csv", "PageRank (1998)", False, False],
-            ["food.csv", "Newman (2023)", False, False],
-            ["llmfao.csv", "Average Win Rate", False, True],
-            ["llmfao.csv", "Bradley-Terry (1952)", False, True],
-            ["llmfao.csv", "Elo (1960)", False, True],
+            ["food.csv", "Counting", False, False, 0],
+            ["food.csv", "Bradley-Terry (1952)", False, False, 1000],
+            ["food.csv", "Eigenvector (1987)", False, False, 1000],
+            ["food.csv", "PageRank (1998)", False, False, 1000],
+            ["food.csv", "Newman (2023)", False, False, 1000],
+            ["llmfao.csv", "Average Win Rate", False, True, 100],
+            ["llmfao.csv", "Bradley-Terry (1952)", False, True, 100],
+            ["llmfao.csv", "Elo (1960)", False, True, 100],
         ],
         title="Evalica: Turn Your Side-by-Side Comparisons into Ranking!",
         description="""