removing zerogpu to archive

app.py

@@ -4,7 +4,7 @@ from janus.janusflow.models import MultiModalityCausalLM, VLChatProcessor
 from PIL import Image
 from diffusers.models import AutoencoderKL
 import numpy as np
-import spaces  # Import spaces for ZeroGPU compatibility
+# import spaces  # Import spaces for ZeroGPU compatibility
 
 cuda_device = 'cuda' if torch.cuda.is_available() else 'cpu'
 
@@ -22,7 +22,7 @@ vae = vae.to(torch.bfloat16).to(cuda_device).eval()
 
 # Multimodal Understanding function
 @torch.inference_mode()
-@spaces.GPU(duration=120) 
+# @spaces.GPU(duration=120) 
 # Multimodal Understanding function
 def multimodal_understanding(image, question, seed, top_p, temperature):
     # Clear CUDA cache before generating
@@ -69,7 +69,7 @@ def multimodal_understanding(image, question, seed, top_p, temperature):
 
 
 @torch.inference_mode()
-@spaces.GPU(duration=120) 
+# @spaces.GPU(duration=120) 
 def generate(
     input_ids,
     cfg_weight: float = 2.0,
@@ -152,7 +152,7 @@ def unpack(dec, width, height, parallel_size=5):
 
 
 @torch.inference_mode()
-@spaces.GPU(duration=120) 
+# @spaces.GPU(duration=120) 
 def generate_image(prompt,
                    seed=None,
                    guidance=5,