Update app.py

app.py

@@ -4,10 +4,8 @@ from base64 import b64encode
 import numpy
 import torch
 from diffusers import AutoencoderKL, LMSDiscreteScheduler, UNet2DConditionModel, StableDiffusionPipeline
-from huggingface_hub import notebook_login
 
 # For video display:
-from IPython.display import HTML
 from matplotlib import pyplot as plt
 from pathlib import Path
 from PIL import Image
@@ -18,7 +16,6 @@ from transformers import CLIPTextModel, CLIPTokenizer, logging
 import os
 
 torch.manual_seed(1)
-if not (Path.home()/'.cache/huggingface'/'token').exists(): notebook_login()
 
 # Supress some unnecessary warnings when loading the CLIPTextModel
 logging.set_verbosity_error()