Update app.py

app.py

@@ -36,20 +36,35 @@ def restart_space():
 try:
     print(EVAL_REQUESTS_PATH)
     snapshot_download(
-        repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
+        repo_id=QUEUE_REPO,
+        local_dir=EVAL_REQUESTS_PATH,
+        repo_type="dataset",
+        tqdm_class=None,
+        etag_timeout=30,
+        token=TOKEN
     )
 except Exception:
     restart_space()
 try:
     print(EVAL_RESULTS_PATH)
     snapshot_download(
-        repo_id=RESULTS_REPO, local_dir=EVAL_RESULTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
+        repo_id=RESULTS_REPO,
+        local_dir=EVAL_RESULTS_PATH,
+        repo_type="dataset",
+        tqdm_class=None,
+        etag_timeout=30,
+        token=TOKEN
     )
 except Exception:
     restart_space()
 
 
 LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
+# Replace benchmark names in the leaderboard DataFrame
+LEADERBOARD_DF.replace(
+    {"ANLI": "Korean Bar Exam (Lawyer)", "LogiQA": "Senior Civil Service Examination(국가직 5급)"},
+    inplace=True,
+)
 
 (
     finished_eval_queue_df,
@@ -88,6 +103,12 @@ def init_leaderboard(dataframe):
         interactive=False,
     )
 
+def transform_model_type(s):
+    if s == "ANLI":
+        return "Korean Bar Exam (Lawyer)"
+    elif s == "LogiQA":
+        return "Senior Civil Service Examination(국가직 5급)"
+    return s
 
 demo = gr.Blocks(css=custom_css)
 with demo:
@@ -149,10 +170,7 @@ with demo:
                     model_name_textbox = gr.Textbox(label="Model name")
                     revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
                     model_type = gr.Dropdown(
-                        choices=[
-                            ("Korean Bar Exam (Lawyer)" if t.to_str(" : ") == "ANLI" else t.to_str(" : "))
-                            for t in ModelType if t != ModelType.Unknown
-                        ],
+                        choices=[transform_model_type(t.to_str(" : ")) for t in ModelType if t != ModelType.Unknown],
                         label="Model type",
                         multiselect=False,
                         value=None,