Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import numpy as np
 import random
 
-import spaces
+# import spaces
 import torch
 
 from diffusers import FluxPriorReduxPipeline, FluxPipeline
@@ -23,7 +23,7 @@ pipe = FluxPipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 ).to("cuda")
 
-@spaces.GPU
+# @spaces.GPU
 def infer(control_image, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)