Update src/saving_utils.py

src/saving_utils.py

@@ -20,7 +20,7 @@ def get_baseline_df(selected_methods, selected_metrics, leaderboard_path="/tmp/l
     return leaderboard_df
 
 
-def save_results(method_name, benchmark_types, results, repo_id="HUBioDataLab/probe-data", repo_type="space", temporary=False):
+def save_results(method_name, benchmark_types, results, repo_id="mgyigit/probe-data", repo_type="space", temporary=False):
     #First, download files to be updated from {repo_id}
     download_from_hub(benchmark_types, repo_id, repo_type)
 
@@ -42,7 +42,7 @@ def save_results(method_name, benchmark_types, results, repo_id="HUBioDataLab/pr
     return 0
 
 
-def download_from_hub(benchmark_types, repo_id="HUBioDataLab/probe-data", repo_type="space"):
+def download_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.append("leaderboard")
@@ -68,7 +68,7 @@ def download_from_hub(benchmark_types, repo_id="HUBioDataLab/probe-data", repo_t
     return 0
 
 
-def upload_to_hub(benchmark_types, repo_id="HUBioDataLab/probe-data", repo_type="space"):
+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
 
     for benchmark in benchmark_types: