kevineen commited on
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1 Parent(s): 00c1e24
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  1. README.md +10 -0
  2. app.py +36 -20
README.md CHANGED
@@ -7,6 +7,16 @@ sdk: gradio
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  app_file: app.py
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  pinned: false
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
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  ---
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  An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
 
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  app_file: app.py
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  pinned: false
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  license: apache-2.0
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+
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+ hf_oauth: true
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+ # optional, default duration is 8 hours/480 minutes. Max duration is 30 days/43200 minutes.
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+ hf_oauth_expiration_minutes: 480
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+ # optional, see "Scopes" below. "openid profile" is always included.
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+ hf_oauth_scopes:
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+ - read-repos
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+ - write-repos
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+ - manage-repos
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+ - inference-api
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  ---
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  An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
app.py CHANGED
@@ -1,25 +1,41 @@
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  import gradio as gr
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- from transformers import HfApi
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- # Hugging Faceにログインする関数
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- def login_to_huggingface(token):
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- api = HfApi()
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- try:
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- # トークンを使用してログイン
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- api.set_access_token(token)
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- user = api.whoami()
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- return f"ログイン成功: {user['name']}"
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- except Exception as e:
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- return f"ログイン失敗: {str(e)}"
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- # Gradioインターフェースの作成
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  with gr.Blocks() as demo:
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- gr.Markdown("# Hugging Face ログイン")
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- token = gr.Textbox(label="Hugging Face トークン", placeholder="ここにトークンを入力")
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- output = gr.Textbox(label="ログイン状態")
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- submit_button = gr.Button("ログイン")
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-
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- submit_button.click(login_to_huggingface, inputs=token, outputs=output)
 
 
 
 
 
 
 
 
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- # アプリを起動
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- demo.launch()
 
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  import gradio as gr
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+ from huggingface_hub import list_models
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+
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+
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+ def hello(profile: gr.OAuthProfile | None) -> str:
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+ # ^ expect a gr.OAuthProfile object as input to get the user's profile
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+ # if the user is not logged in, profile will be None
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+ if profile is None:
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+ return "I don't know you."
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+ return f"Hello {profile.name}"
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+
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+
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+ def list_private_models(profile: gr.OAuthProfile | None, oauth_token: gr.OAuthToken | None) -> str:
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+ # ^ expect a gr.OAuthToken object as input to get the user's token
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+ # if the user is not logged in, oauth_token will be None
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+ if oauth_token is None:
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+ return "Please log in to list private models."
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+ models = [
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+ f"{model.id} ({'private' if model.private else 'public'})"
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+ for model in list_models(author=profile.username, token=oauth_token.token)
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+ ]
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+ return "Models:\n\n" + "\n - ".join(models) + "."
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  with gr.Blocks() as demo:
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+ gr.Markdown(
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+ "# Gradio OAuth Space"
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+ "\n\nThis Space is a demo for the **Sign in with Hugging Face** feature. "
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+ "Duplicate this Space to get started."
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+ "\n\nFor more details, check out:"
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+ "\n- https://www.gradio.app/guides/sharing-your-app#o-auth-login-via-hugging-face"
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+ "\n- https://huggingface.co/docs/hub/spaces-oauth"
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+ )
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+ gr.LoginButton()
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+ # ^ add a login button to the Space
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+ m1 = gr.Markdown()
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+ m2 = gr.Markdown()
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+ demo.load(hello, inputs=None, outputs=m1)
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+ demo.load(list_private_models, inputs=None, outputs=m2)
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+ demo.launch()