Update app.py

app.py

@@ -4,7 +4,6 @@ import random
 import torch
 from diffusers import DiffusionPipeline
 import importlib  # to import tag modules dynamically
-# from tags import participant_tags, tribe_tags, role_tags, skin_tone_tags, body_type_tags, tattoo_tags, piercing_tags, expression_tags, eye_tags, hair_style_tags, position_tags, fetish_tags, location_tags, camera_tags, atmosphere_tags
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "John6666/wai-ani-nsfw-ponyxl-v8-sdxl"  # Replace with your desired model
@@ -20,7 +19,6 @@ pipe.to(device)
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
-
 # Function to load tags dynamically based on the selected tab
 def load_tags(active_tab):
     if active_tab == "Gay":
@@ -34,7 +32,6 @@ def load_tags(active_tab):
     
     return tags_module
 
-
 @gradio.Interface
 def infer(
     prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps,