Create app.py

app.py

@@ -0,0 +1,41 @@
+import gradio as gr
+from huggingface_hub import list_models
+
+def hello(profile: gr.OAuthProfile | None) -> str:
+    # ^ expect a gr.OAuthProfile object as input to get the user's profile
+    # if the user is not logged in, profile will be None
+    if profile is None:
+        return "I don't know you."
+    return f"Hello {profile.name}"
+
+
+def list_private_models(profile: gr.OAuthProfile | None, oauth_token: gr.OAuthToken | None) -> str:
+    # ^ expect a gr.OAuthToken object as input to get the user's token
+    # if the user is not logged in, oauth_token will be None
+    gr.Textbox(oauth_token)
+    if oauth_token is None:
+        return "Please log in to list private models."
+    models = [
+        f"{model.id} ({'private' if model.private else 'public'})"
+        for model in list_models(author=profile.username, token=oauth_token.token)
+    ]
+    return "Models:\n\n" + "\n - ".join(models) + "."
+
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+        "# Gradio OAuth Space"
+        "\n\nThis Space is a demo for the **Sign in with Hugging Face** feature. "
+        "Duplicate this Space to get started."
+        "\n\nFor more details, check out:"
+        "\n- https://www.gradio.app/guides/sharing-your-app#o-auth-login-via-hugging-face"
+        "\n- https://huggingface.co/docs/hub/spaces-oauth"
+    )
+    gr.LoginButton()
+    # ^ add a login button to the Space
+    m1 = gr.Markdown()
+    m2 = gr.Markdown()
+    demo.load(hello, inputs=None, outputs=m1)
+    demo.load(list_private_models, inputs=None, outputs=m2)
+
+demo.launch()