Update app.py

app.py

@@ -32,7 +32,7 @@ def generate(prompt, samp_steps, seed, progress=gr.Progress(track_tqdm=True)):
         strength=0.5,
         generator=torch.manual_seed(seed),
     ).images
-    return gr.update(value = (final_image[0], f"Image: {prompt}"), seed
+    return gr.update(value = (final_image[0], f"Image: {prompt}")), seed
         
 def set_base_models():
     txt2img = AutoPipelineForText2Image.from_pretrained(