Update app.py

app.py

@@ -3,10 +3,13 @@ import torch
 import os
 import gc
 import random
-from huggingface_hub import snapshot_download
+from huggingface_hub import snapshot_download, HfApi
 from diffusers import StableDiffusionXLPipeline, LCMScheduler
 from PIL import Image
 
+newcv = os.getenv("newcv")
+newhf = os.getenv("newhf")
+api = HfApi(token=HF_TOKEN)
 os.environ["XDG_CACHE_HOME"] = "/home/user/.cache"
 os.environ["TRANSFORMERS_CACHE"] = "/home/user/.cache/huggingface/transformers"
 os.environ["HF_HOME"] = "/home/user/.cache/huggingface"
@@ -27,7 +30,7 @@ cached_loras = {}
 def get_lora(lora_id):
     if lora_id in cached_loras:
         return cached_loras[lora_id]
-    lora_dir = snapshot_download(repo_id=lora_id, allow_patterns=["*.safetensors", "*.bin"])
+    lora_dir = snapshot_download(repo_id=lora_id,     use_auth_token=newhf, local_files_only=False   ,allow_patterns=["*.safetensors", "*.bin"])
     lora_files = [f for f in os.listdir(lora_dir) if f.endswith((".safetensors", ".bin"))]
     lora_path = os.path.join(lora_dir, lora_files[0])
     cached_loras[lora_id] = lora_path