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data.py

@@ -60,8 +60,11 @@ def load_data():
     usage_df: one row per (model_id, benchmark, category, bucket) — the fully resolved,
               per-model-scoped benchmark usage table used by every tab.
     """
-    models_ds = load_dataset(DATASET_ID, "models")["models"]
-    sources_ds = load_dataset(DATASET_ID, "sources")["sources"]
+    print("load_data: fetching models config...", flush=True)
+    models_ds = load_dataset(DATASET_ID, "models", token=False)["models"]
+    print("load_data: fetching sources config...", flush=True)
+    sources_ds = load_dataset(DATASET_ID, "sources", token=False)["sources"]
+    print("load_data: done", flush=True)
 
     models_df = models_ds.to_pandas()
     models_df["release_date"] = pd.to_datetime(models_df["release_date"])