add dummy table

app.py

@@ -29,6 +29,7 @@ from src.display.utils import (
 from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, QUEUE_REPO, REPO_ID, RESULTS_REPO, TOKEN
 from src.populate import get_evaluation_queue_df, get_leaderboard_df
 from src.submission.submit import add_new_eval
+from src import dummy_leaderboard
 
 
 def restart_space():
@@ -208,12 +209,21 @@ with demo:
             #     visible=True,
             # )
 
+            # leaderboard_table = gr.components.Dataframe(
+            #     value=leaderboard_df[
+            #         [c.name for c in fields(AutoEvalColumn) if c.never_hidden]
+            #     ],
+            #     headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
+            #     datatype=TYPES,
+            #     elem_id="leaderboard-table",
+            #     interactive=False,
+            #     visible=True,
+            # )
+
             leaderboard_table = gr.components.Dataframe(
-                value=leaderboard_df[
-                    [c.name for c in fields(AutoEvalColumn) if c.never_hidden]
-                ],
-                headers=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
-                datatype=TYPES,
+                value=dummy_leaderboard.DUMMY_LEADERBOARD,
+                headers=dummy_leaderboard.HEADERS,
+                datatype=dummy_leaderboard.TYPES,
                 elem_id="leaderboard-table",
                 interactive=False,
                 visible=True,

src/dummy_leaderboard.py

@@ -0,0 +1,5 @@
+import pandas as pd
+
+HEADERS = ["score1", "score2", "score3", "score4"]
+TYPES = ["number", "number", "number", "number"]
+DUMMY_LEADERBOARD = pd.DataFrame({"GPT-4": [0.4, 0.3, 0.2, 0.1], "GPT-3": [0.1, 0.2, 0.3, 0.4]})