Update app.py

app.py

@@ -58,7 +58,29 @@ with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.Markdown(" # Text-to-Image Gradio Template")
 
-        with gr.Row():
+        # Add the LoginButton
+        login_button = gr.LoginButton()
+
+        # Placeholder for user profile information
+        user_info = gr.State()
+
+        # Function to update user_info upon login
+        def update_user_info(profile):
+            if profile is None:
+                return gr.Error("Please log in to access the application.")
+            return profile
+
+        # Update user_info when login_button is clicked
+        login_button.click(update_user_info, inputs=None, outputs=user_info)
+
+        # Check if user is authenticated before displaying the main interface
+        def check_auth(user_info):
+            if user_info is None:
+                return gr.Error("Please log in to access the application.")
+            return gr.update(visible=True)
+
+        # Main interface components
+        with gr.Row(visible=False) as main_interface:
             prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
@@ -66,65 +88,61 @@ with gr.Blocks(css=css) as demo:
                 placeholder="Enter your prompt",
                 container=False,
             )
-
             run_button = gr.Button("Run", scale=0, variant="primary")
-
-        result = gr.Image(label="Result", show_label=False)
-
-        with gr.Accordion("Advanced Settings", open=False):
-            negative_prompt = gr.Text(
-                label="Negative prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=True,
-            )
-
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-
-            with gr.Row():
-                width = gr.Slider(
-                    label="Width",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,  # Default width for your model
-                )
-
-                height = gr.Slider(
-                    label="Height",
-                    minimum=256,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=512,  # Default height for your model
+            result = gr.Image(label="Result", show_label=False)
+
+            with gr.Accordion("Advanced Settings", open=False):
+                negative_prompt = gr.Text(
+                    label="Negative prompt",
+                    max_lines=1,
+                    placeholder="Enter a negative prompt",
+                    visible=True,
                 )
-
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="Guidance scale",
-                    minimum=0.0,
-                    maximum=10.0,
-                    step=0.1,
-                    value=7.5,  # Default guidance scale for your model
-                )
-
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
+                seed = gr.Slider(
+                    label="Seed",
+                    minimum=0,
+                    maximum=MAX_SEED,
                     step=1,
-                    value=25,  # Default number of inference steps for your model
+                    value=0,
                 )
-
-        gr.Examples(examples=examples, inputs=[prompt])
-
+                randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+                with gr.Row():
+                    width = gr.Slider(
+                        label="Width",
+                        minimum=256,
+                        maximum=MAX_IMAGE_SIZE,
+                        step=32,
+                        value=512,
+                    )
+                    height = gr.Slider(
+                        label="Height",
+                        minimum=256,
+                        maximum=MAX_IMAGE_SIZE,
+                        step=32,
+                        value=512,
+                    )
+                with gr.Row():
+                    guidance_scale = gr.Slider(
+                        label="Guidance scale",
+                        minimum=0.0,
+                        maximum=10.0,
+                        step=0.1,
+                        value=7.5,
+                    )
+                    num_inference_steps = gr.Slider(
+                        label="Number of inference steps",
+                        minimum=1,
+                        maximum=50,
+                        step=1,
+                        value=25,
+                    )
+
+            gr.Examples(examples=examples, inputs=[prompt])
+
+        # Display main interface if authenticated
+        user_info.change(check_auth, inputs=user_info, outputs=main_interface)
+
+        # Run inference when run_button is clicked
         run_button.click(
             infer,
             inputs=[