Update space1

src/populate.py

@@ -22,17 +22,17 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
 
     df = pd.DataFrame.from_records(all_data_json)
     # print(df.head(10))
-    for model_name, info in CLOSED_MODELS.items():
-        if model_name not in df['Model'].values:
-            df = pd.concat([df, pd.DataFrame([{
-                "Model": model_name,
-                "params": info["params"],
-                "license": info["license"],
-                "likes": info["likes"],
-                "model_type": info["model_type"],
-                "Precision (%)": 0,
-                "Title search rate (%)": 0
-            }])], ignore_index=True)
+    # for model_name, info in CLOSED_MODELS.items():
+    #     if model_name not in df['Model'].values:
+    #         df = pd.concat([df, pd.DataFrame([{
+    #             "Model": model_name,
+    #             "params": info["params"],
+    #             "license": info["license"],
+    #             "likes": info["likes"],
+    #             "model_type": info["model_type"],
+    #             "Precision (%)": 0,
+    #             "Title search rate (%)": 0
+    #         }])], ignore_index=True)
 
     def extract_first(value):
         if isinstance(value, (list, np.ndarray)):
@@ -99,7 +99,7 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     # if benchmark_cols:
     #     df = df[has_no_nan_values(df, benchmark_cols)]
 
-    print(df.head(10))
+    # print(df.head(10))
     return df