Update app.py

app.py

@@ -1,36 +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}"
 
-with gr.Blocks() as demo:
-    # Title of the app
-    gr.Markdown("# Welcome to the Dynamic App!")
 
-    
-    with gr.Row(visible=True) as form_section:
-        gr.LoginButton(scale=1)
-        
-    
-    # Output message after successful submission
-    
-    
-    # Main content shown after form submission
-    with gr.Column(visible=gr.OAuthProfile is not None) as main_content:
-        form_section.visible=False
-        gr.Markdown("Thank you for entering your details. Here’s where the app’s main content goes!")
-        
-        # Personalized welcome message
-        personal_message = gr.Textbox(
-            label="", 
-            interactive=False, 
-            value="You have access to all the interactive features below.", 
-            visible=True
-        )
+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
+    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)
 
-        # Feature selection dropdown
-        feature = gr.Dropdown(
-            ["Data Visualization", "Model Prediction", "Statistics", "Text Analysis"],
-            label="Choose a feature to explore:"
-        )
-        
-     
-# Launch the app
-demo.launch()
+demo.launch()