Update app.py

app.py

@@ -1,36 +1,32 @@
-@njit(cache=True,nopython=True,parallel=True)
-def deps():
-    import os
-    import subprocess
-    import logging
-    import re
-    import random
-    import string
-    import requests
-    import sys
-    import warnings
+import os
+import subprocess
+import logging
+import re
+import random
+import string
+import requests
+import sys
+import warnings
     
-    import spaces
-    import torch
-    import gradio as gr
-    import numpy as np
-    from lxml.html import fromstring
-    #from transformers import pipeline
-    from torch import multiprocessing as mp, nn
-    #from torch.multiprocessing import Pool
-    #from pathos.multiprocessing import ProcessPool as Pool
-    #from pathos.threading import ThreadPool as Pool
-    #from diffusers.pipelines.flux import FluxPipeline
-    from diffusers.utils import export_to_gif, load_image
-    from diffusers.models.modeling_utils import ModelMixin
-    from huggingface_hub import hf_hub_download
-    from safetensors.torch import load_file, save_file
-    from diffusers import DiffusionPipeline, AnimateDiffPipeline, MotionAdapter, EulerDiscreteScheduler, DDIMScheduler, StableDiffusionXLPipeline, UNet2DConditionModel, AutoencoderKL, UNet3DConditionModel
-    #import jax
-    #import jax.numpy as jnp
-    from numba import jit,njit
-
-deps()
+import spaces
+import torch
+import gradio as gr
+import numpy as np
+from lxml.html import fromstring
+#from transformers import pipeline
+from torch import multiprocessing as mp, nn
+#from torch.multiprocessing import Pool
+#from pathos.multiprocessing import ProcessPool as Pool
+#from pathos.threading import ThreadPool as Pool
+#from diffusers.pipelines.flux import FluxPipeline
+from diffusers.utils import export_to_gif, load_image
+from diffusers.models.modeling_utils import ModelMixin
+from huggingface_hub import hf_hub_download
+from safetensors.torch import load_file, save_file
+from diffusers import DiffusionPipeline, AnimateDiffPipeline, MotionAdapter, EulerDiscreteScheduler, DDIMScheduler, StableDiffusionXLPipeline, UNet2DConditionModel, AutoencoderKL, UNet3DConditionModel
+#import jax
+#import jax.numpy as jnp
+from numba import jit,njit
 
 warnings.filterwarnings("ignore")
 root = logging.getLogger()