| | """
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| | Push to both Hugging Face Dataset and Space.
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| |
|
| | Dataset: https://huggingface.co/datasets/scholo/MMB_dataset
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| | Space: https://huggingface.co/spaces/scholo/Datasetviewer
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| |
|
| | Usage:
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| | pip install datasets pillow huggingface_hub
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| | huggingface-cli login
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| |
|
| | python scripts/deploy_both.py
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| | python scripts/deploy_both.py --dataset-only # Only push dataset
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| | python scripts/deploy_both.py --space-only # Only push Space
|
| | """
|
| | from __future__ import annotations
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| |
|
| | import argparse
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| | import subprocess
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| | import sys
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| | from pathlib import Path
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| |
|
| | PROJECT_ROOT = Path(__file__).resolve().parent.parent
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| | HF_DATASET_DIR = PROJECT_ROOT / "hf_dataset"
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| | DATASET_REPO = "scholo/MMB_dataset"
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| | SPACE_REPO = "scholo/Datasetviewer"
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| |
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| |
|
| | def find_hf_dataset_csv() -> Path | None:
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| | """Find CSV in hf_dataset/ (root or in subdirs)."""
|
| | if not HF_DATASET_DIR.exists():
|
| | return None
|
| | csvs = list(HF_DATASET_DIR.rglob("*.csv"))
|
| | with_q = [p for p in csvs if "question" in p.name.lower()]
|
| | return (with_q[0] if with_q else csvs[0]) if csvs else None
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| |
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| |
|
| | def run(cmd: list[str], cwd: Path | None = None) -> bool:
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| | r = subprocess.run(cmd, cwd=cwd or PROJECT_ROOT)
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| | return r.returncode == 0
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| |
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| |
|
| | def push_dataset() -> bool:
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| | print("=== Pushing dataset to", DATASET_REPO, "===")
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| | csv_path = find_hf_dataset_csv()
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| | if not csv_path:
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| | print(f"Error: No CSV in {HF_DATASET_DIR}. Add image_mapping_with_questions.csv + images/ + scenes/", file=sys.stderr)
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| | return False
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| | print(f"Using {csv_path.relative_to(PROJECT_ROOT)}")
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| | return run([
|
| | sys.executable,
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| | str(PROJECT_ROOT / "scripts" / "upload_to_huggingface.py"),
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| | str(csv_path),
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| | "--repo-id", DATASET_REPO,
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| | ])
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| |
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| |
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| | def push_space() -> bool:
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| | print("=== Pushing Space to", SPACE_REPO, "===")
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| | try:
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| | from huggingface_hub import HfApi
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| | except ImportError:
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| | print("Install huggingface_hub: pip install huggingface_hub", file=sys.stderr)
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| | return False
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| |
|
| | api = HfApi()
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| |
|
| | try:
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| | api.upload_folder(
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| | folder_path=str(PROJECT_ROOT),
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| | path_in_repo="",
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| | repo_id=SPACE_REPO,
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| | repo_type="space",
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| | ignore_patterns=[
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| | "__pycache__", "*.pyc", ".git",
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| | "scripts", "requirements-upload.txt",
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| | "hf_dataset",
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| | "*.zip", ".cursor", "*.pyo",
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| | ],
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| | commit_message="Deploy MMB Dataset Visualizer",
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| | )
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| | print("Space pushed. View at: https://huggingface.co/spaces/" + SPACE_REPO)
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| | return True
|
| | except Exception as e:
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| | print(f"Error pushing Space: {e}", file=sys.stderr)
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| | return False
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| |
|
| |
|
| | def main():
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| | parser = argparse.ArgumentParser()
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| | parser.add_argument("--dataset-only", action="store_true")
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| | parser.add_argument("--space-only", action="store_true")
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| | args = parser.parse_args()
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| |
|
| | ok = True
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| | if not args.space_only:
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| | ok = push_dataset() and ok
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| | if not args.dataset_only:
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| | ok = push_space() and ok
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| |
|
| | sys.exit(0 if ok else 1)
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| |
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| |
|
| | if __name__ == "__main__":
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| | main()
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| |
|