Update app.py

app.py

@@ -72,7 +72,6 @@ def generate(
     num_inference_steps: int = 26,
     sampler: str = "Euler a",
     clip_skip: int = 1,
-    progress=gr.Progress(track_tqdm=True),
 ):
     if torch.cuda.is_available():
         pipe = StableDiffusionXLPipeline.from_pretrained(
@@ -109,7 +108,7 @@ def generate(
             output_type="pil",
         ).images
 
-        return img
+        return img, seed
 
     except Exception as e:
         print(f"An error occurred: {e}")
@@ -196,7 +195,7 @@ with gr.Blocks(
             preview=True, 
             show_label=False
         )
-
+    with gr.Group():
         used_seed = gr.Number(label="Used Seed", interactive=False)
 
     gr.on(
@@ -223,7 +222,7 @@ with gr.Blocks(
             sampler,
             clip_skip
         ],
-        outputs=result,
+        outputs=[result, used_seed],
         api_name="run"
     )