File size: 4,332 Bytes
5a90f0c | 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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 | #!/usr/bin/env python3
"""Sync datasets and model artifacts with Hugging Face Hub."""
from __future__ import annotations
import argparse
import os
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def require_hf() -> None:
try:
import huggingface_hub # noqa: F401
except ImportError as exc:
raise SystemExit("Install huggingface_hub: pip install huggingface_hub") from exc
def hf_token() -> str | None:
return os.environ.get("HF_TOKEN") or os.environ.get("HUGGING_FACE_HUB_TOKEN")
def upload_dataset(repo_id: str, folder: Path, private: bool) -> None:
from huggingface_hub import HfApi
api = HfApi(token=hf_token())
api.create_repo(repo_id=repo_id, repo_type="dataset", exist_ok=True, private=private)
api.upload_folder(
folder_path=str(folder),
repo_id=repo_id,
repo_type="dataset",
commit_message="Scriptwriter dataset sync",
)
visibility = "private" if private else "public"
print(f"Dataset uploaded ({visibility}): https://huggingface.co/datasets/{repo_id}")
def download_dataset(repo_id: str, folder: Path) -> None:
from huggingface_hub import snapshot_download
folder.mkdir(parents=True, exist_ok=True)
snapshot_download(
repo_id=repo_id,
repo_type="dataset",
local_dir=str(folder),
token=hf_token(),
)
print(f"Dataset downloaded to {folder}")
def upload_model(repo_id: str, folder: Path, private: bool) -> None:
from huggingface_hub import HfApi
api = HfApi(token=hf_token())
api.create_repo(repo_id=repo_id, repo_type="model", exist_ok=True, private=private)
api.upload_folder(
folder_path=str(folder),
repo_id=repo_id,
repo_type="model",
commit_message="Scriptwriter LoRA adapter sync",
)
visibility = "private" if private else "public"
print(f"Model uploaded ({visibility}): https://huggingface.co/models/{repo_id}")
def download_model(repo_id: str, folder: Path) -> None:
from huggingface_hub import snapshot_download
folder.mkdir(parents=True, exist_ok=True)
snapshot_download(
repo_id=repo_id,
repo_type="model",
local_dir=str(folder),
token=hf_token(),
)
print(f"Model downloaded to {folder}")
def main() -> None:
parser = argparse.ArgumentParser(description="Sync scriptwriter artifacts with HF Hub")
sub = parser.add_subparsers(dest="cmd", required=True)
up_ds = sub.add_parser("upload-dataset")
up_ds.add_argument("--repo", default=os.environ.get("HF_DATASET_REPO", ""))
up_ds.add_argument("--folder", type=Path, default=ROOT / "data" / "processed")
up_ds.add_argument("--public", action="store_true", help="Upload as public (default: private)")
down_ds = sub.add_parser("download-dataset")
down_ds.add_argument("--repo", default=os.environ.get("HF_DATASET_REPO", ""))
down_ds.add_argument("--folder", type=Path, default=ROOT / "data" / "processed")
up_m = sub.add_parser("upload-model")
up_m.add_argument("--repo", default=os.environ.get("HF_MODEL_REPO", ""))
up_m.add_argument("--folder", type=Path, default=ROOT / "models" / "lora")
up_m.add_argument("--public", action="store_true", help="Upload as public (default: private)")
down_m = sub.add_parser("download-model")
down_m.add_argument("--repo", default=os.environ.get("HF_MODEL_REPO", ""))
down_m.add_argument("--folder", type=Path, default=ROOT / "models" / "lora")
args = parser.parse_args()
require_hf()
if args.cmd == "upload-dataset":
if not args.repo:
raise SystemExit("Set --repo or HF_DATASET_REPO")
upload_dataset(args.repo, args.folder, private=not args.public)
elif args.cmd == "download-dataset":
if not args.repo:
raise SystemExit("Set --repo or HF_DATASET_REPO")
download_dataset(args.repo, args.folder)
elif args.cmd == "upload-model":
if not args.repo:
raise SystemExit("Set --repo or HF_MODEL_REPO")
upload_model(args.repo, args.folder, private=not args.public)
elif args.cmd == "download-model":
if not args.repo:
raise SystemExit("Set --repo or HF_MODEL_REPO")
download_model(args.repo, args.folder)
if __name__ == "__main__":
main()
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