chore: fixing gradio components

app.py

@@ -47,12 +47,13 @@ This demo utilizes the SDXL model LoRA adaption weights for stabilityai/stable-d
 with gr.Blocks() as demo:
     gr.HTML("<h1><center>Text-to-Image with SDXL-Lightning ⚡</center></h1>")
     gr.Markdown(description)
-    with gr.Row():
-        prompt_input = gr.Textbox(label="Enter your image prompt", value="a sketch of TOK khabib pointing at another khabib like the spiderman meme, monchrome, pen sketch")
-        negative_prompt_input = gr.Textbox(label="Enter negative prompt", value="ugly face, multiple bodies, bad anatomy, disfigured, extra fingers", lines=2)
-        guidance_scale_slider = gr.Slider(label="Guidance Scale", minimum=1, maximum=5, value=3)
-        steps_slider = gr.Slider(label="Number of Inference Steps", minimum=20, maximum=100, value=50)
-        submit_button = gr.Button("Generate Sketch")
+    with gr.Group():
+        with gr.Row():
+            prompt_input = gr.Textbox(label="Enter your image prompt", value="a sketch of TOK khabib pointing at another khabib like the spiderman meme, monchrome, pen sketch", scale=8)
+            negative_prompt_input = gr.Textbox(label="Enter negative prompt", value="ugly face, multiple bodies, bad anatomy, disfigured, extra fingers", lines=2)
+            guidance_scale_slider = gr.Slider(label="Guidance Scale", minimum=1, maximum=5, value=3)
+            steps_slider = gr.Slider(label="Number of Inference Steps", minimum=20, maximum=100, value=50)
+            submit_button = gr.Button("Generate Sketch")
         output_image = gr.Image(label="Generated Sketch")
     
     submit_button.click(