Upload folder using huggingface_hub

app.py

@@ -29,17 +29,7 @@ INDEX_FILENAME     = "index.csv"
 
 from huggingface_hub import hf_hub_download
 
-def _load_hf_index() -> pd.DataFrame:
-    local = hf_hub_download(
-        repo_id=HF_INDEX_REPO_ID,
-        repo_type=HF_INDEX_REPO_TYPE,
-        filename=INDEX_FILENAME,
-    )
-    df = pd.read_csv(local)
-    for c in ["id","filename","relpath","category","dataset","tags","keywords","notes","uploaded_at"]:
-        if c not in df.columns:
-            df[c] = ""
-    return df.fillna("")
+
 
 # ---------- DB helpers ----------
 def _load_db() -> pd.DataFrame:
@@ -86,10 +76,11 @@ def _load_hf_index() -> pd.DataFrame:
     Required columns: id, filename, relpath, category, dataset, tags, keywords, notes, uploaded_at
     """
     local = hf_hub_download(
-        repo_id=HF_DATASET_REPO,
-        repo_type="dataset",
+        repo_id=HF_INDEX_REPO_ID,
+        repo_type=HF_INDEX_REPO_TYPE,
         filename=INDEX_FILENAME,
     )
+
     df = pd.read_csv(local)
     for c in ["id","filename","relpath","category","dataset","tags","keywords","notes","uploaded_at"]:
         if c not in df.columns: