Datasets:
Sync Space runtime publisher fix
Browse files
scripts/publish_hf_bundles.py
CHANGED
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@@ -69,6 +69,8 @@ STALE_ARTIFACT_REMOTE_FOLDERS = [
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]
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STALE_SPACE_REMOTE_FILES = [
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LEGACY_SCORECARD_MD,
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"data/" + LEGACY_PACKET_JSON,
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"data/" + LEGACY_SCORECARD_JSON,
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@@ -107,12 +109,13 @@ episodes.
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SPACE_CARD_METADATA = """---
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title: Ropedia Xperience-10M Task Suite
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-
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app_file: index.html
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license: mit
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colorFrom: blue
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colorTo: green
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pinned: false
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short_description: Xperience-10M embodied-AI task-suite dashboard.
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tags:
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- embodied-ai
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@@ -132,6 +135,9 @@ models:
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---
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"""
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BASELINE_MODEL_CARD_METADATA = """---
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license: mit
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library_name: pytorch
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@@ -288,9 +294,23 @@ def ensure_repo_card_metadata(readme_path: Path, metadata: str) -> None:
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if not readme_path.exists():
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return
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readme = readme_path.read_text(encoding="utf-8")
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if readme.startswith("---\n"):
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def ensure_enhancement_card_links(hf_root: Path) -> None:
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@@ -476,6 +496,7 @@ def main() -> int:
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prune_generated_artifacts(hf_root)
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prune_artifact_bundle(hf_root)
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ensure_artifact_dataset_viewer_config(hf_root)
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ensure_repo_card_metadata(hf_root / "space/README.md", SPACE_CARD_METADATA)
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ensure_repo_card_metadata(hf_root / "model/README.md", BASELINE_MODEL_CARD_METADATA)
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ensure_enhancement_card_links(hf_root)
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@@ -496,7 +517,7 @@ def main() -> int:
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qwen3_lora_repo = full_repo(args.namespace, args.qwen3_lora_repo)
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cosmos3_super_lora_repo = full_repo(args.namespace, args.cosmos3_super_lora_repo)
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api.create_repo(space_repo, repo_type="space", space_sdk="
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api.create_repo(artifact_repo, repo_type="dataset", exist_ok=True, token=token)
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api.create_repo(model_repo, repo_type=None, exist_ok=True, token=token)
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]
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STALE_SPACE_REMOTE_FILES = [
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"README_GRADIO_RUNTIME.md",
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"README_SPACE_RUNTIME.md",
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LEGACY_SCORECARD_MD,
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"data/" + LEGACY_PACKET_JSON,
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"data/" + LEGACY_SCORECARD_JSON,
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SPACE_CARD_METADATA = """---
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title: Ropedia Xperience-10M Task Suite
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+
emoji: 🚀
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colorFrom: blue
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colorTo: green
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sdk: gradio
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app_file: app.py
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pinned: false
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license: mit
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short_description: Xperience-10M embodied-AI task-suite dashboard.
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tags:
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- embodied-ai
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---
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"""
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SPACE_REQUIREMENTS = """gradio>=4.44.0
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"""
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BASELINE_MODEL_CARD_METADATA = """---
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license: mit
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library_name: pytorch
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if not readme_path.exists():
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return
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readme = readme_path.read_text(encoding="utf-8")
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normalized_metadata = metadata.rstrip() + "\n\n"
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if readme.startswith("---\n"):
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parts = readme.split("---", 2)
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if len(parts) == 3:
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new_readme = normalized_metadata + parts[2].lstrip("\n")
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if new_readme != readme:
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readme_path.write_text(new_readme, encoding="utf-8")
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return
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new_readme = normalized_metadata + readme.lstrip("\n")
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if new_readme != readme:
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readme_path.write_text(new_readme, encoding="utf-8")
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def ensure_space_runtime_files(hf_root: Path) -> None:
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"""Keep the Hub Space runtime small and explicit."""
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requirements_path = hf_root / "space/requirements.txt"
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requirements_path.write_text(SPACE_REQUIREMENTS, encoding="utf-8")
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def ensure_enhancement_card_links(hf_root: Path) -> None:
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prune_generated_artifacts(hf_root)
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prune_artifact_bundle(hf_root)
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ensure_artifact_dataset_viewer_config(hf_root)
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ensure_space_runtime_files(hf_root)
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ensure_repo_card_metadata(hf_root / "space/README.md", SPACE_CARD_METADATA)
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ensure_repo_card_metadata(hf_root / "model/README.md", BASELINE_MODEL_CARD_METADATA)
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ensure_enhancement_card_links(hf_root)
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qwen3_lora_repo = full_repo(args.namespace, args.qwen3_lora_repo)
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cosmos3_super_lora_repo = full_repo(args.namespace, args.cosmos3_super_lora_repo)
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api.create_repo(space_repo, repo_type="space", space_sdk="gradio", exist_ok=True, token=token)
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api.create_repo(artifact_repo, repo_type="dataset", exist_ok=True, token=token)
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api.create_repo(model_repo, repo_type=None, exist_ok=True, token=token)
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