File size: 2,224 Bytes
b64777f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | """Hub utilities for uploading/downloading step data to HF Dataset repo."""
import os
import logging
from pathlib import Path
from huggingface_hub import HfApi, hf_hub_download, list_repo_tree
logger = logging.getLogger(__name__)
HF_DATASET_REPO_ID = "baenacoco/talking-head-avatar"
def _get_api():
token = os.environ.get("HF_TOKEN")
if not token:
raise ValueError("HF_TOKEN no encontrado en variables de entorno")
api = HfApi(token=token)
api.create_repo(repo_id=HF_DATASET_REPO_ID, repo_type="dataset", exist_ok=True)
return api
def upload_step(name: str, step_folder: str, local_dir: str):
"""Upload a local directory to {name}/{step_folder}/ in the dataset repo."""
api = _get_api()
api.upload_folder(
folder_path=local_dir,
path_in_repo=f"{name}/{step_folder}",
repo_id=HF_DATASET_REPO_ID,
repo_type="dataset",
)
logger.info(f"Uploaded {local_dir} -> {name}/{step_folder}")
return f"Subido a Hub: {name}/{step_folder}"
def download_step(name: str, step_folder: str, local_dir: str):
"""Download {name}/{step_folder}/ from the dataset repo to a local directory."""
from huggingface_hub import snapshot_download
token = os.environ.get("HF_TOKEN")
snapshot_download(
repo_id=HF_DATASET_REPO_ID,
repo_type="dataset",
local_dir=local_dir,
allow_patterns=[f"{name}/{step_folder}/**"],
token=token,
)
logger.info(f"Downloaded {name}/{step_folder} -> {local_dir}")
return f"Descargado de Hub: {name}/{step_folder}"
def list_projects() -> list[str]:
"""List project names (top-level folders) in the dataset repo."""
token = os.environ.get("HF_TOKEN")
try:
api = HfApi(token=token)
entries = list(api.list_repo_tree(
repo_id=HF_DATASET_REPO_ID, repo_type="dataset", path_in_repo="",
))
return sorted(set(
e.rfilename.split("/")[0] if hasattr(e, "rfilename") else e.path.split("/")[0]
for e in entries
if ("/" in getattr(e, "rfilename", "")) or hasattr(e, "path")
))
except Exception as e:
logger.warning(f"Could not list projects: {e}")
return []
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