Update app.py

app.py

@@ -146,17 +146,17 @@ def start_tryon(person_img, pose_img, mask_img, cloth_img, garment_des, denoise_
             prompt = f"model is wearing {garment_des}"
             negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
             with torch.inference_mode():
-            (
+             (
                 prompt_embeds,
                 negative_prompt_embeds,
                 pooled_prompt_embeds,
                 negative_pooled_prompt_embeds,
-            ) = pipe.encode_prompt(
+             )= pipe.encode_prompt(
                 prompt,
                 num_images_per_prompt=1,
                 do_classifier_free_guidance=True,
                 negative_prompt=negative_prompt,
-            )
+             )
             prompt = "a photo of " + garment_des
             negative_prompt = "monochrome, lowres, bad anatomy, worst quality, low quality"
             if not isinstance(prompt, List):
@@ -165,15 +165,15 @@ def start_tryon(person_img, pose_img, mask_img, cloth_img, garment_des, denoise_
                         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