fix

app.py

@@ -95,87 +95,87 @@ with gr.Blocks(css=css) as demo:
         button = gr.LoginButton("Sign in")
         button.click(fn=get_token, inputs=[], outputs=[])
 
-    with gr.Tabs():
-        with gr.TabItem("Generate Image"):
-            with gr.Column(elem_id="col-container"):
-                gr.Markdown(
-                    """# FLUX.1 [schnell] with fal‑ai through HF Inference Providers ⚡\nLearn more about HF Inference Providers [here](https://huggingface.co/docs/inference-providers/index)"""
-                )
 
-                with gr.Row():
-                    prompt = gr.Text(
-                        label="Prompt",
-                        show_label=False,
-                        max_lines=1,
-                        placeholder="Enter your prompt",
-                        container=False,
-                    )
-                    run_button = gr.Button("Run", scale=0)
+    with gr.Tab("Generate Image"):
+        with gr.Column(elem_id="col-container"):
+            gr.Markdown(
+                """# FLUX.1 [schnell] with fal‑ai through HF Inference Providers ⚡\nLearn more about HF Inference Providers [here](https://huggingface.co/docs/inference-providers/index)"""
+            )
 
-                result = gr.Image(label="Result", show_label=False, format="png")
+            with gr.Row():
+                prompt = gr.Text(
+                    label="Prompt",
+                    show_label=False,
+                    max_lines=1,
+                    placeholder="Enter your prompt",
+                    container=False,
+                )
+                run_button = gr.Button("Run", scale=0)
 
-                with gr.Accordion("Advanced Settings", open=False):
-                    seed = gr.Slider(
-                        label="Seed",
-                        minimum=0,
-                        maximum=MAX_SEED,
-                        step=1,
-                        value=42,
-                    )
-                    with gr.Row():
-                        width = gr.Slider(
-                            label="Width",
-                            minimum=256,
-                            maximum=MAX_IMAGE_SIZE,
-                            step=32,
-                            value=1024,
-                        )
-                        height = gr.Slider(
-                            label="Height",
-                            minimum=256,
-                            maximum=MAX_IMAGE_SIZE,
-                            step=32,
-                            value=1024,
-                        )
-                    num_inference_steps = gr.Slider(
-                        label="Number of inference steps",
-                        minimum=1,
-                        maximum=50,
-                        step=1,
-                        value=25,
-                    )
+            result = gr.Image(label="Result", show_label=False, format="png")
 
-                gr.Examples(
-                    examples=examples,
-                    fn=generate,
-                    inputs=[prompt],
-                    outputs=[result, seed],
-                    cache_examples="lazy",
+            with gr.Accordion("Advanced Settings", open=False):
+                seed = gr.Slider(
+                    label="Seed",
+                    minimum=0,
+                    maximum=MAX_SEED,
+                    step=1,
+                    value=42,
                 )
-
-                gr.on(
-                    triggers=[run_button.click, prompt.submit],
-                    fn=generate,
-                    inputs=[prompt, seed, width, height, num_inference_steps],
-                    outputs=[result, seed],
-                    show_api=True,
+                with gr.Row():
+                    width = gr.Slider(
+                        label="Width",
+                        minimum=256,
+                        maximum=MAX_IMAGE_SIZE,
+                        step=32,
+                        value=1024,
+                    )
+                    height = gr.Slider(
+                        label="Height",
+                        minimum=256,
+                        maximum=MAX_IMAGE_SIZE,
+                        step=32,
+                        value=1024,
+                    )
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=25,
                 )
 
-        with gr.TabItem("Download Image"):
-            gr.Markdown("## Download an image from a URL and make it available as a file")
-            url_input = gr.Text(label="Image URL", placeholder="https://example.com/cool-image.png")
-            filename_input = gr.Text(
-                label="Save as (filename)", value="downloaded_image.png", placeholder="downloaded_image.png"
+            gr.Examples(
+                examples=examples,
+                fn=generate,
+                inputs=[prompt],
+                outputs=[result, seed],
+                cache_examples="lazy",
             )
-            download_btn = gr.Button("Download")
-            file_output = gr.File(label="Downloaded file")
 
-            download_btn.click(
-                fn=download_image_locally,
-                inputs=[url_input, filename_input],
-                outputs=[file_output],
+            gr.on(
+                triggers=[run_button.click, prompt.submit],
+                fn=generate,
+                inputs=[prompt, seed, width, height, num_inference_steps],
+                outputs=[result, seed],
                 show_api=True,
             )
 
+    with gr.Tab("Download Image"):
+        gr.Markdown("## Download an image from a URL and make it available as a file")
+        url_input = gr.Text(label="Image URL", placeholder="https://example.com/cool-image.png")
+        filename_input = gr.Text(
+            label="Save as (filename)", value="downloaded_image.png", placeholder="downloaded_image.png"
+        )
+        download_btn = gr.Button("Download")
+        file_output = gr.File(label="Downloaded file")
+
+        download_btn.click(
+            fn=download_image_locally,
+            inputs=[url_input, filename_input],
+            outputs=[file_output],
+            show_api=True,
+        )
+
 if __name__ == "__main__":
     demo.launch(mcp_server=True)