mirror of
https://github.com/gradio-app/gradio.git
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21f9da9380
* Add step to deploy to spaces on release * Import package not modules * Lint * Add comment on slack
79 lines
2.8 KiB
Python
79 lines
2.8 KiB
Python
import argparse
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import pathlib
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import shutil
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import tempfile
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import textwrap
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from typing import Optional
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import huggingface_hub
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def upload_demo_to_space(
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demo_name: str, space_id: str, hf_token: str, gradio_version: Optional[str]
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):
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"""Upload a demo in the demo directory to a huggingface space.
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Args:
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demo_name: The name of the demo to upload.
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space_id: The id of the space to upload the demo to.
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hf_token: HF api token. Need to have permission to write to space_id for this to work.
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gradio_version: If not None, will set the gradio version in the created space to the given version.
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"""
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with tempfile.TemporaryDirectory() as tmpdir:
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demo_path = pathlib.Path(pathlib.Path().absolute(), f"demo/{demo_name}")
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shutil.copytree(demo_path, tmpdir, dirs_exist_ok=True)
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app_file = pathlib.Path(tmpdir, "run.py")
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# Rename the app file to be app.py
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app_file.rename(app_file.with_stem("app"))
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if gradio_version:
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readme = pathlib.Path(tmpdir, "README.md")
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readme_content = f"""
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---
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title: {space_id.split("/")[-1]}
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emoji: 💩
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: {gradio_version}
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app_file: app.py
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pinned: false
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---
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"""
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readme.open("w").write(textwrap.dedent(readme_content))
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api = huggingface_hub.HfApi()
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huggingface_hub.create_repo(
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space_id,
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space_sdk="gradio",
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repo_type="space",
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token=hf_token,
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exist_ok=True,
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)
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api.upload_folder(
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token=hf_token,
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repo_id=space_id,
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repo_type="space",
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folder_path=tmpdir,
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path_in_repo="",
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)
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return f"https://huggingface.co/spaces/{space_id}"
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Upload a demo to a space")
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parser.add_argument("demo_name", type=str, help="Name of demo to upload")
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parser.add_argument(
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"space_id", type=str, help="Name of the space to upload the demo to"
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)
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parser.add_argument("hf_token", type=str, help="HF API token")
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parser.add_argument(
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"--gradio-version",
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type=str,
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help="If not None, will set the gradio version in the created space to the given version.",
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)
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args = parser.parse_args()
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new_space = upload_demo_to_space(
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args.demo_name, args.space_id, args.hf_token, args.gradio_version
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)
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print(new_space)
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