Update app.py

app.py

@@ -164,16 +164,17 @@ def start_tryon(person_img, pose_img, mask_img, cloth_img, garment_des, denoise_
             if not isinstance(negative_prompt, List):
                         negative_prompt = [negative_prompt] * 1
             with torch.inference_mode():
-                prompt_embeds_cloth, 
-                _,
-                _,
-                _,
+                (
+                 prompt_embeds_cloth, 
+                 _,
+                 _,
+                 _,
                 )= pipe.encode_prompt(
-                prompt,
-                num_images_per_prompt=1,
-                do_classifier_free_guidance=False,
-                negative_prompt=negative_prompt,
-            )
+                 prompt,
+                 num_images_per_prompt=1,
+                 do_classifier_free_guidance=False,
+                 negative_prompt=negative_prompt,
+                )
 
             # Convert images to tensors for processing
             pose_img_tensor = tensor_transfrom(pose_img).unsqueeze(0).to(device, torch.float16)