scripts/hf_downloader.py

from huggingface_hub import HfApi
from os import path
from pathlib import Path
import os

class HFClient:
    def __init__(self, api_token, endpoint="https://huggingface.co"):
        self._api_token = api_token
        self._api = HfApi(
            endpoint=endpoint, # Can be a Private Hub endpoint.
            token=api_token, # Token is not persisted on the machine.
        )
    def exec(self, method, *args, **kwargs):
        return self._api[method](*args, **kwargs)

class HFRepository:
    def __init__(self, name, client, namespace=None, type=None, local_path=None):        
        self._client = client
        self._name = name.strip()
        self._namespace = namespace.strip() if namespace is not None else None
        if(type is not None and type not in ['dataset', 'space', 'model']):
            raise Exception("Invalid repo type")
        self._type = type
        self.local_path = local_path

    @property
    def name(self):
        return self._name

    @property
    def namespace(self):
        return self._namespace

    @property
    def repoid(self):
        return "{0}/{1}".format(self.namespace, self.name) if self.namespace is not None else self.name

    @property
    def files(self):
        return self._client.list_repo_files(repo_id=self.repoid, repo_type=self._type)
    
    def create(self, **kwargs):
        #https://huggingface.co/docs/huggingface_hub/v0.27.1/en/package_reference/hf_api#huggingface_hub.HfApi.create_repo
        return self._client.create_repo(repo_id=self.repoid, repo_type=self._type, **kwargs)
    
    def download_file(self, name, local_path=None, **kwargs):
        local_path = self.local_path if local_path is None else local_path
        print("Downloading {0}".format(name))
        return self._client.hf_hub_download(repo_id=self.repoid, repo_type=self._type, filename=name, local_dir=local_path, **kwargs)
    
    def download_folder(self, path, **kwargs):
        files = self.files
        folder_contents = filter(lambda x: x.startswith(path), files)
        results = []
        for x in folder_contents:
            results.append(self.download_file(x))
        return results
    def upload_file(self, file_or_path, repo_path):
        return self._client.upload_file(
            repo_id=self.repoid, 
            repo_type=self._type,
            path_or_fileobj=file_or_path,
            path_in_repo=repo_path
        )
    
    def upload_folder(self, folder_path, repo_path):
        local_files_path = filter(lambda x: path.isfile(path.join(folder_path, x)), os.listdir(folder_path))
        results = []
        for x in local_files_path:
            results.append(self.upload_file(path.join(folder_path, x), Path(repo_path, x).as_posix()))
        return results
            
        
def main():
    token = os.environ.get("HF_TOKEN", None)
    if token is None:
        raise Exception("No HF_TOKEN set")
    repository = os.environ.get("HF_REPO_NAME", "ts-dataset")
    repo_namespace = os.environ.get("HF_REPO_NAMESPACE", "uniko1")
    repo_type =  os.environ.get("HF_REPO_TYPE", "dataset")
    target_folder = os.environ.get("REMOTE_PATH", None)
    local_path = os.environ.get("LOCAL_PATH", "./")

    if target_folder is None:
        raise Exception("No REMOTE_PATH set")

    api = HfApi(endpoint="https://huggingface.co", token=token)
    rep = HFRepository(repository, api, repo_namespace, "dataset", local_path=local_path)
    rep.download_folder(target_folder)

if __name__ == "__main__":
    main()