Update app.py

app.py

@@ -2,9 +2,14 @@ import gradio as gr
 from diffusers import StableDiffusionPipeline
 import torch
 
-# ⚠️ You can replace this with any try-on model, e.g. akhaliq/TryOnDiffusion
-model_id = "lllyasviel/TryOnDiffusion"  # public
-pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+model_id = "lllyasviel/TryOnDiffusion"  
+token = os.getenv("HF_TOKEN")        
+
+pipe = StableDiffusionPipeline.from_pretrained(
+    model_id,
+    use_auth_token=token,            
+    torch_dtype=torch.float16
+)
 pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
 
 def try_on(person_img, cloth_img):