Update app.py

app.py

@@ -3,9 +3,10 @@ from peft import LoraConfig, get_peft_model
 import torch
 
 # Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("youssef227/llama-3-8b-Instruct-bnb-telcom-3", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("youssef227/llama-3-8b-Instruct-bnb-telcom-3", trust_remote_code=True)
-
+tokenizer = AutoTokenizer.from_pretrained("youssef227/llama-3-8b-Instruct-bnb-telcom-3")
+print("step 1 ")
+model = AutoModelForCausalLM.from_pretrained("youssef227/llama-3-8b-Instruct-bnb-telcom-3")
+print("step 2 ")
 
 def generator(text):
   inputs = tokenizer(