Update app.py

app.py

@@ -3,7 +3,6 @@ import torch
 import random
 import transformers
 from transformers import T5Tokenizer, T5ForConditionalGeneration
-import spaces
 
 if torch.cuda.is_available():
     device = "cuda"
@@ -16,7 +15,6 @@ tokenizer = T5Tokenizer.from_pretrained("roborovski/superprompt-v1")
 model = T5ForConditionalGeneration.from_pretrained("roborovski/superprompt-v1", torch_dtype=torch.float16)
 model.to(device)
 
-@spaces.GPU()
 def generate(your_prompt, max_new_tokens, repetition_penalty, temperature, model_precision_type, top_p, top_k, seed):
     if seed == 0:
         seed = random.randint(1, 2**32-1)