Update app.py

app.py

@@ -55,6 +55,11 @@ except Exception:
 LEADERBOARD_DF = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
 print(LEADERBOARD_DF.head())
 original_df = LEADERBOARD_DF
+print("Initial LEADERBOARD_DF:")
+print(LEADERBOARD_DF.head())
+print(f"LEADERBOARD_DF shape: {LEADERBOARD_DF.shape}")
+print("LEADERBOARD_DF columns:")
+print(LEADERBOARD_DF.columns.tolist())
 leaderboard_df = original_df.copy()
 (
     finished_eval_queue_df,
@@ -168,6 +173,11 @@ def filter_models(
     print(filtered_df.columns.tolist())
     print("Column data types:")
     print(filtered_df.dtypes)
+    filtered_df = filtered_df.rename(columns={'T': 'Type_Symbol'})
+    print("Filtered dataframe:")
+    print(filtered_df.to_string())
+    print("Filtered dataframe columns:")
+    print(filtered_df.columns.tolist())
     return filtered_df
 
 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], False, False, False)