.

app.py

@@ -5,13 +5,14 @@ from torch import autocast
 from diffusers import StableDiffusionPipeline
 from datasets import load_dataset
 from PIL import Image  
-import re
+# import re
+import os
 
 model_id = "CompVis/stable-diffusion-v1-4"
 device = "cuda"
 
 #If you are running this code locally, you need to either do a 'huggingface-cli login` or paste your User Access Token from here https://huggingface.co/settings/tokens into the use_auth_token field below. 
-pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=TOKEN, revision="fp16", torch_dtype=torch.float16)
+pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=os.environ["TOKEN"], revision="fp16", torch_dtype=torch.float16)
 pipe = pipe.to(device)
 #When running locally, you won`t have access to this, so you can remove this part
 # word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt", use_auth_token=True)