Update src/populate.py

src/populate.py

@@ -31,6 +31,8 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     
     # filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]
+
+    df['Model'] = df['Model'].apply(lambda x: f'[{x.split("/")[-1]}]({x})' if isinstance(x, str) else x)
     
     return df