updates

src/load_from_hub.py

@@ -37,14 +37,14 @@ def load_all_info_from_hub(QUEUE_REPO: str, RESULTS_REPO: str, QUEUE_PATH: str,
         clone_from=QUEUE_REPO,
         repo_type="dataset",
     )
-    # eval_queue_repo.git_pull()
+    eval_queue_repo.git_pull()
 
     eval_results_repo = Repository(
         local_dir=RESULTS_PATH,
         clone_from=RESULTS_REPO,
         repo_type="dataset",
     )
-    # eval_results_repo.git_pull()
+    eval_results_repo.git_pull()
 
     requested_models = get_all_requested_models("eval-queue")
 
@@ -56,10 +56,10 @@ def get_leaderboard_df(
 ) -> pd.DataFrame:
     if eval_results:
         print("Pulling evaluation results for the leaderboard.")
-        # eval_results.git_pull()
+        eval_results.git_pull()
     if eval_results_private:
         print("Pulling evaluation results for the leaderboard.")
-        # eval_results_private.git_pull()
+        eval_results_private.git_pull()
 
     all_data = get_eval_results_dicts()
 
@@ -84,10 +84,10 @@ def get_evaluation_queue_df(
 ) -> list[pd.DataFrame]:
     if eval_queue:
         print("Pulling changes for the evaluation queue.")
-        # eval_queue.git_pull()
+        eval_queue.git_pull()
     if eval_queue_private:
         print("Pulling changes for the evaluation queue.")
-        # eval_queue_private.git_pull()
+        eval_queue_private.git_pull()
 
     entries = [entry for entry in os.listdir(save_path) if not entry.startswith(".")]
     all_evals = []