Upload folder using huggingface_hub

backend/database.py

@@ -22,6 +22,11 @@ async def sync_from_hub():
         if time.time() - last_sync < 60:
             return
         try:
+            try:
+                api.create_repo(repo_id=settings.repo_id, repo_type="dataset", exist_ok=True, token=settings.hf_token)
+            except Exception as e:
+                print(f"Failed to create repo: {e}")
+                
             print(f"Downloading {settings.db_name} from Hub...")
             def _download():
                 path = hf_hub_download(

backend/preprocessing.py

@@ -38,7 +38,7 @@ def preprocess_data(df, is_training=True):
                 y = y_raw 
     
     # Fix broken encoding column names safely
-    X_raw.rename(columns=lambda x: x.replace('', '°') if isinstance(x, str) else x, inplace=True)
+    X_raw.rename(columns=lambda x: x.replace('\ufffd', '°') if isinstance(x, str) else x, inplace=True)
     
     if 'Fall Detection' in X_raw.columns:
         X_raw['Fall Detection'] = X_raw['Fall Detection'].map({'Yes': 1, 'No': 0}).fillna(0)