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import io |
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import os |
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from importlib.resources import files |
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from pathlib import Path |
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import gradio |
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import huggingface_hub |
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def deploy_as_space( |
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title: str, |
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dataset_id: str | None = None, |
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): |
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if ( |
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os.getenv("SYSTEM") == "spaces" |
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): |
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return |
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trackio_path = files("trackio") |
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hf_api = huggingface_hub.HfApi() |
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whoami = None |
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login = False |
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try: |
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whoami = hf_api.whoami() |
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if whoami["auth"]["accessToken"]["role"] != "write": |
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login = True |
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except OSError: |
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login = True |
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if login: |
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print("Need 'write' access token to create a Spaces repo.") |
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huggingface_hub.login(add_to_git_credential=False) |
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whoami = hf_api.whoami() |
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space_id = huggingface_hub.create_repo( |
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title, |
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space_sdk="gradio", |
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repo_type="space", |
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exist_ok=True, |
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).repo_id |
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assert space_id == title |
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with open(Path(trackio_path, "README.md"), "r") as f: |
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readme_content = f.read() |
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readme_content = readme_content.replace("{GRADIO_VERSION}", gradio.__version__) |
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readme_buffer = io.BytesIO(readme_content.encode("utf-8")) |
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hf_api.upload_file( |
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path_or_fileobj=readme_buffer, |
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path_in_repo="README.md", |
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repo_id=space_id, |
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repo_type="space", |
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) |
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huggingface_hub.utils.disable_progress_bars() |
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hf_api.upload_folder( |
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repo_id=space_id, |
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repo_type="space", |
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folder_path=trackio_path, |
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ignore_patterns=["README.md"], |
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) |
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hf_token = huggingface_hub.utils.get_token() |
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if hf_token is not None: |
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huggingface_hub.add_space_secret(space_id, "HF_TOKEN", hf_token) |
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if dataset_id is not None: |
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huggingface_hub.add_space_variable(space_id, "TRACKIO_DATASET_ID", dataset_id) |
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os.environ["TRACKIO_DATASET_ID"] = dataset_id |
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