better?

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.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)"""
-            )
-
-            with gr.Row():
-                prompt = gr.Text(
-                    label="Prompt",
-                    show_label=False,
-                    max_lines=1,
-                    placeholder="Enter your prompt",
-                    container=False,
+    with gr.Row():
+        
+        with gr.Tab("Generate Image"):
+                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)"""
                 )
-                run_button = gr.Button("Run", scale=0)
 
-            result = gr.Image(label="Result", show_label=False, format="png")
-
-            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,
+                    prompt = gr.Text(
+                        label="Prompt",
+                        show_label=False,
+                        max_lines=1,
+                        placeholder="Enter your prompt",
+                        container=False,
                     )
-                    height = gr.Slider(
-                        label="Height",
-                        minimum=256,
-                        maximum=MAX_IMAGE_SIZE,
-                        step=32,
-                        value=1024,
+                    run_button = gr.Button("Run", scale=0)
+
+                result = gr.Image(label="Result", show_label=False, format="png")
+
+                with gr.Accordion("Advanced Settings", open=False):
+                    seed = gr.Slider(
+                        label="Seed",
+                        minimum=0,
+                        maximum=MAX_SEED,
+                        step=1,
+                        value=42,
                     )
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=25,
+                    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,
+                    )
+
+                gr.Examples(
+                    examples=examples,
+                    fn=generate,
+                    inputs=[prompt],
+                    outputs=[result, seed],
+                    cache_examples="lazy",
+                )
+
+                gr.on(
+                    triggers=[run_button.click, prompt.submit],
+                    fn=generate,
+                    inputs=[prompt, seed, width, height, num_inference_steps],
+                    outputs=[result, seed],
+                    show_api=True,
                 )
 
-            gr.Examples(
-                examples=examples,
-                fn=generate,
-                inputs=[prompt],
-                outputs=[result, seed],
-                cache_examples="lazy",
+        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")
 
-            gr.on(
-                triggers=[run_button.click, prompt.submit],
-                fn=generate,
-                inputs=[prompt, seed, width, height, num_inference_steps],
-                outputs=[result, seed],
+            download_btn.click(
+                fn=download_image_locally,
+                inputs=[url_input, filename_input],
+                outputs=[file_output],
                 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)