Update app.py

app.py

@@ -117,25 +117,26 @@ def handler(file: typing.IO[bytes], seed: int) -> pd.DataFrame:
     return df_result
 
 
-iface = gr.Interface(
-    fn=handler,
-    inputs=[
-        gr.File(
-            value='example.csv',
-            file_types=['.tsv', '.csv'],
-            label='Comparisons'
+def main() -> None:
+    iface = gr.Interface(
+        fn=handler,
+        inputs=[
+            gr.File(
+                value='example.csv',
+                file_types=['.tsv', '.csv'],
+                label='Comparisons'
+            ),
+            gr.Number(
+                label='Seed',
+                precision=0
+            )
+        ],
+        outputs=gr.Dataframe(
+            headers=['item', 'score', 'rank'],
+            label='Ranking'
         ),
-        gr.Number(
-            label='Seed',
-            precision=0
-        )
-    ],
-    outputs=gr.Dataframe(
-        headers=['item', 'score', 'rank'],
-        label='Ranking'
-    ),
-    title='Pair2Rank: Turn Your Side-by-Side Comparisons into Ranking!',
-    description='''
+        title='Pair2Rank: Turn Your Side-by-Side Comparisons into Ranking!',
+        description='''
 This easy-to-use tool transforms pairwise comparisons (aka side-by-side) to a meaningful ranking of items.
 
 As an input, it expects a comma-separated (CSV) file with a header containing the following columns:
@@ -148,12 +149,16 @@ Possible values for `winner` are `left`, `right`, or `tie`.
 The provided example might be a good starting point.
 
 As the output, this tool provides a table with items, their estimated scores, and ranks.
-    ''',
-    article='''
-This tool implements the tie-aware ranking aggregation algorithm as described in
+        ''',
+        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).
-    ''',
-    allow_flagging='never'
-)
+        ''',
+        allow_flagging='never'
+    )
+
+    iface.launch()
+
 
-iface.launch()
+if __name__ == '__main__':
+    main()