Update src/populate.py

src/populate.py

@@ -43,23 +43,26 @@ def get_leaderboard_df(eval_results_path, eval_requests_path, cols, benchmark_co
         df = df.sort_values(by=['average'], ascending=False)
 
     # 🔹 Fix Column Data Types for Correct Display in Gradio
+    # Ensure numeric fields are properly converted
     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")
-
+            df[col] = pd.to_numeric(df[col], errors="coerce")  # Convert to float
+    
+    # Ensure categorical/text fields are properly converted to strings
     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
+    
+    # Debug: Print column types
     print("✅ LEADERBOARD_DF Updated dtypes:\n", df.dtypes)
-
+    
+    
     return df
 
 def get_evaluation_queue_df(eval_requests_path, eval_cols):