Avoid error when the contents repo is empty

app.py

@@ -78,8 +78,13 @@ except Exception:
     FAILED_EVAL_QUEUE_DF,
 ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
 
-ORIGINAL_DF = get_leaderboard_df(CONTENTS_REPO, COLS, BENCHMARK_COLS)
-MAX_MODEL_SIZE = ORIGINAL_DF["#Params (B)"].max()
+try:
+    ORIGINAL_DF = get_leaderboard_df(CONTENTS_REPO, COLS, BENCHMARK_COLS)
+    MAX_MODEL_SIZE = ORIGINAL_DF["#Params (B)"].max()
+except Exception as e:
+    print(f"Error getting leaderboard df: {e}")
+    ORIGINAL_DF = pd.DataFrame()
+    MAX_MODEL_SIZE = 0
 
 
 # Searching and filtering
@@ -195,23 +200,24 @@ def update_table(
 # Prepare the dataframes
 
 
-leaderboard_df = ORIGINAL_DF.copy()
-leaderboard_df = filter_models(
-    leaderboard_df,
-    [t.to_str(" : ") for t in ModelType],
-    list(NUMERIC_INTERVALS.keys()),
-    [i.value.name for i in Precision],
-    [i.value.name for i in AddSpecialTokens],
-    [i.value.name for i in NumFewShots],
-    [i.value.name for i in LLMJpEvalVersion],
-    [i.value.name for i in VllmVersion],
-)
-# Initialize columns
 INITIAL_COLUMNS = ["T"] + [
     c.name for c in fields(AutoEvalColumn) if (c.never_hidden or c.displayed_by_default) and c.name != "T"
 ]
-leaderboard_df = select_columns(leaderboard_df, INITIAL_COLUMNS)
-
+leaderboard_df = ORIGINAL_DF.copy()
+if len(leaderboard_df) > 0:
+    leaderboard_df = filter_models(
+        leaderboard_df,
+        [t.to_str(" : ") for t in ModelType],
+        list(NUMERIC_INTERVALS.keys()),
+        [i.value.name for i in Precision],
+        [i.value.name for i in AddSpecialTokens],
+        [i.value.name for i in NumFewShots],
+        [i.value.name for i in LLMJpEvalVersion],
+        [i.value.name for i in VllmVersion],
+    )
+    leaderboard_df = select_columns(leaderboard_df, INITIAL_COLUMNS)
+else:
+    leaderboard_df = pd.DataFrame(columns=INITIAL_COLUMNS)
 
 # Leaderboard demo