Notebook login add

app.py

@@ -1,15 +1,14 @@
+from huggingface_hub import snapshot_download
 import gradio as gr
 import numpy as np
 import random
 # import spaces #[uncomment to use ZeroGPU]
 from diffusers import AutoPipelineForText2Image
 import torch
+from huggingface_hub import notebook_login
 
+notebook_login()
 
-# from huggingface_hub import notebook_login
-# notebook_login()
-
-from huggingface_hub import snapshot_download
 snapshot_download(repo_id="Roomie/xavyy", cache_dir='./')
 
 pipeline = AutoPipelineForText2Image.from_pretrained(
@@ -23,7 +22,7 @@ MAX_IMAGE_SIZE = 1024
 # @spaces.GPU #[uncomment to use ZeroGPU]
 
 
-def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress(track_tqdm=True)):
+def infer(prompt,  seed, randomize_seed):
 
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)