Upload folder using huggingface_hub

llm_ocr/storage.py

@@ -94,26 +94,11 @@ class HFHubStorage(DatasetStorage):
         return bool(self.repo_id)
     
     def upload_files(self, output_dir: Path, path_prefix: str = "") -> bool:
-        if not self.is_configured:
-            LOGGER.debug("HF Hub not configured, skipping file upload")
-            return False
-        
-        try:
-            from .hf_io import maybe_upload_dataset
-            
-            prefix = path_prefix or self.path_in_repo
-            maybe_upload_dataset(
-                output_dir=output_dir,
-                repo_id=self.repo_id,
-                path_in_repo=prefix,
-                commit_message=self.commit_message,
-                revision=self.branch,
-            )
-            LOGGER.info("Uploaded files to HF Hub: %s", self.repo_id)
-            return True
-        except Exception as exc:
-            LOGGER.exception("HF Hub file upload failed: %s", exc)
-            return False
+        # For HF Hub, we don't upload raw files separately.
+        # The dataset contains embedded images via HfImage, and push_to_hub handles everything.
+        # Raw file upload is only needed for S3/GCS backends.
+        LOGGER.debug("HF Hub: skipping raw file upload (dataset contains embedded images)")
+        return True
     
     def save_dataset(self, dataset: "Dataset", name: str) -> bool:
         if not self.is_configured: