Update app.py

app.py

@@ -1,13 +1,12 @@
-from ctransformers import AutoTokenizer, AutoModelForCausalLM
+from transformers import AutoTokenizer, AutoModelForCausalLM
 from peft import LoraConfig, get_peft_model
 import torch
 
 # Load the tokenizer and model
-model = AutoModelForCausalLM.from_pretrained("youssef227/llama-3-8b-Instruct-bnb-telcom-3",hf=True)
 print("step 1 ")
-tokenizer = AutoTokenizer.from_pretrained(model)
+tokenizer = AutoTokenizer.from_pretrained("youssef227/llama-3-8b-Instruct-bnb-telcom-3")
 print("step 2 ")
-
+model = AutoModelForCausalLM.from_pretrained("youssef227/llama-3-8b-Instruct-bnb-telcom-3")
 def generator(text):
   inputs = tokenizer(
   [