Update app.py

app.py

@@ -18,12 +18,12 @@ device = "cpu"
 auth_token = os.getenv("auth_token")
 
 #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="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", revision="fp16", torch_dtype=torch.float16)
+pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=auth_token, revision="fp16", torch_dtype=torch.float16)
 pipe = pipe.to(device)
 torch.backends.cudnn.benchmark = True
 
 #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="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")
+word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt", use_auth_token=auth_token)
 word_list = word_list_dataset["train"]['text']
 
 is_gpu_busy = False