change model

app.py

@@ -1,7 +1,7 @@
 from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 from transformers.utils import logging
 import gradio as gr
-import spaces
+#import spaces
 
 # Define the logger instance for the transformers library
 logger = logging.get_logger("transformers")
@@ -23,7 +23,7 @@ model = AutoModelForCausalLM.from_pretrained(model_name,device_map="auto",trust_
 #         repetition_penalty=1.1)
 
 # Generate text using the model and tokenizer
-@spaces.GPU(duration=60)
+#@spaces.GPU(duration=60)
 def generate_text(input_text):
     input_ids = tokenizer.encode(input_text, return_tensors="pt")#.to("cuda")
     #attention_mask = input_ids.ne(tokenizer.pad_token_id).long()