Update src/saving_utils.py

src/saving_utils.py

@@ -6,7 +6,7 @@ from huggingface_hub import HfApi
 script_dir = os.path.dirname(os.path.abspath(__file__))  # Directory of the running script
 
 
-def save_results(method_name, benchmark_types, results, repo_id="mgiyigt/probe-data", repo_type="space"):
+def save_results(method_name, benchmark_types, results, repo_id="mgyigit/probe-data", repo_type="space"):
     #First, download files to be updated from {repo_id}
     download_files_from_hub(benchmark_types, repo_id, repo_type)
 
@@ -30,7 +30,7 @@ def save_results(method_name, benchmark_types, results, repo_id="mgiyigt/probe-d
 def download_files_from_hub(benchmark_types, repo_id="mgyigit/probe-data", repo_type="space"):
     api = HfApi(token=os.getenv("api-key")) #load api-key secret
 
-    benchmark_types += "leaderboard"
+    benchmark_types.append("leaderboard")
     for benchmark in benchmark_types:
         file_name = f"{benchmark}_results.csv"
         local_path = f"/tmp/{file_name}"
@@ -55,8 +55,8 @@ def download_files_from_hub(benchmark_types, repo_id="mgyigit/probe-data", repo_
 
 def upload_to_hub(benchmark_types, repo_id="mgyigit/probe-data", repo_type="space"):
     api = HfApi(token=os.getenv("api_key"))  # Requires authentication via HF_TOKEN
-    benchmark_types += "leaderboard"
 
+    benchmark_types.append("leaderboard")
     for benchmark in benchmark_types:
         file_name = f"{benchmark}_results.csv"
         local_path = f"/tmp/{file_name}"