Update app.py

app.py

@@ -8,13 +8,11 @@ Accelerator = Accelerator(cpu=True)
 pipe = accelerator.prepare(UniDiffuserPipeline.from_pretrained("thu-ml/unidiffuser-v1", torch_dtype=torch.bfloat16))
 pipe = accelerator.prepare(pipe.to("cpu"))
 
-def plex(image_url,stips)
-init_image = load_image(image_url).resize((512, 512))
-
-sample = pipe(image=init_image, num_inference_steps=stips, guidance_scale=8.0)
-i2t_text = sample.text[0]
-
-sample = pipe(prompt=i2t_text, num_inference_steps=stips, guidance_scale=8.0)
+def plex(image_url,stips):
+    init_image = load_image(image_url).resize((512, 512))
+    sample = pipe(image=init_image, num_inference_steps=stips, guidance_scale=8.0)
+    i2t_text = sample.text[0]
+    sample = pipe(prompt=i2t_text, num_inference_steps=stips, guidance_scale=8.0)
     for i, imge in enumerate(sample["images"]):
         apol.append(imge)
     return apol