update populate

src/populate.py

@@ -42,6 +42,24 @@ def get_leaderboard_df(eval_results_path, eval_requests_path, cols, benchmark_co
     if 'average' in df.columns:
         df = df.sort_values(by=['average'], ascending=False)
 
+    # 🔹 Fix Column Data Types for Correct Display in Gradio
+    NUMERIC_COLUMNS = ["average", "likes", "params"] + [col for col in df.columns if col not in [
+        "model_name", "submitted_time", "base_model", "revision", "precision", "weight_type", "model_type", "license"
+    ]]
+
+    for col in NUMERIC_COLUMNS:
+        if col in df.columns:
+            df[col] = pd.to_numeric(df[col], errors="coerce")
+
+    TEXT_COLUMNS = ["model_name", "submitted_time", "base_model", "revision", "precision", "weight_type", "model_type", "license"]
+
+    for col in TEXT_COLUMNS:
+        if col in df.columns:
+            df[col] = df[col].astype(str)
+
+    # Debugging: Print data types to confirm correctness
+    print("✅ LEADERBOARD_DF Updated dtypes:\n", df.dtypes)
+
     return df
 
 def get_evaluation_queue_df(eval_requests_path, eval_cols):
@@ -69,4 +87,4 @@ def get_evaluation_queue_df(eval_requests_path, eval_cols):
             running_df = df[df['status'] == 'running']
             pending_df = df[df['status'] == 'pending']
 
-    return finished_df, running_df, pending_df
+    return finished_df, running_df, pending_df