Delete uitls.py

uitls.py

@@ -1,60 +0,0 @@
-def upload_to_hf_dataset(file_path, dataset_name, token, repo_type="dataset"):
-    """
-    Upload a file to a Hugging Face dataset repository.
-
-    Args:
-        file_path (str): Path to the file to upload
-        dataset_name (str): Name of the dataset in format 'username/dataset-name'
-        token (str): Hugging Face API token
-        repo_type (str): Repository type, defaults to 'dataset'
-    """
-    from huggingface_hub import HfApi
-    import os
-
-    # Initialize the Hugging Face API client
-    api = HfApi()
-
-    try:
-        # Upload the file to the dataset repository
-        api.upload_file(
-            path_or_fileobj=file_path,
-            path_in_repo=os.path.basename(file_path),  # Use filename as path in repo
-            repo_id=dataset_name,
-            repo_type=repo_type,
-            token=token,
-            commit_message=f"Upload {os.path.basename(file_path)}",
-            commit_description=f"Automated upload of {os.path.basename(file_path)} to dataset"
-        )
-        print(f"Successfully uploaded {file_path} to {dataset_name}")
-    except Exception as e:
-        print(f"Error uploading file: {str(e)}")
-
-
-def download_from_hf_dataset(file_path, dataset_name, token, repo_type="dataset"):
-    """
-    Download a file from a Hugging Face dataset repository.
-
-    Args:
-        file_path (str): Path in the repository to download from
-        dataset_name (str): Name of the dataset in format 'username/dataset-name'
-        token (str): Hugging Face API token
-        repo_type (str): Repository type, defaults to 'dataset'
-    """
-    from huggingface_hub import HfApi
-    import os
-
-    # Initialize the Hugging Face API client
-    api = HfApi()
-
-    try:
-        # Download the file from the dataset repository
-        api.hf_hub_download(
-            repo_id=dataset_name,
-            filename=file_path,
-            repo_type=repo_type,
-            local_dir=".",
-            token=token
-        )
-        print(f"Successfully downloaded {file_path} from {dataset_name}")
-    except Exception as e:
-        print(f"Error downloading file: {str(e)}")