Update app.py

app.py

@@ -96,10 +96,14 @@ Use StableDiffusion XL with ControlNet pretrained LoRas
         use_custom_model = gr.Checkbox(label="Use a public custom model ?(optional)", value=False, info="To use a private model, you'll prefer to duplicate the space with your own access token.")
         model_name = gr.Textbox(label="Model to use", placeholder="username/my_model")
         image_in = gr.Image(source="upload", type="filepath")
-        prompt = gr.Textbox(label="Prompt")
-        preprocessor = gr.Dropdown(label="Preprocessor", choices=["canny"], value="canny", interactive=False)
-        guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=7.5, type="float")
-        controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.1, maximum=0.9, step=0.01, value=0.5, type="float")
+        with gr.Row():
+            with gr.Column():
+                prompt = gr.Textbox(label="Prompt")
+                guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=7.5, type="float")
+            with gr.Colimn():
+                preprocessor = gr.Dropdown(label="Preprocessor", choices=["canny"], value="canny", interactive=False)  
+                controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.1, maximum=0.9, step=0.01, value=0.5, type="float")
+       
         seed = gr.Slider(label="seed", minimum=0, maximum=500000, step=1, value=42)
 
         submit_btn = gr.Button("Submit")