Update app.py

app.py

@@ -22,7 +22,7 @@ For more details, please check [our post](https://huggingface.co/blog/llama32).
 access_token = os.getenv('HF_TOKEN')
 # Download the Base model
 #model_id = "./models/Llama-32-3B-Instruct"
-model_id = "princeton-nlp/gemma-2-9b-it-SimPO"
+model_id = "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3"
 MAX_MAX_NEW_TOKENS = 2048
 DEFAULT_MAX_NEW_TOKENS = 1024
 MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
@@ -33,7 +33,7 @@ device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 tokenizer = AutoTokenizer.from_pretrained(model_id,token=access_token)
 #tokenizer.padding_side = 'right'
 tokenizer.eos_token_id = 107
-tokenizer.eos_token = "<end_of_turn>"
+tokenizer.pad_token = tokenizer.eos_token
 model = AutoModelForCausalLM.from_pretrained(
     model_id,
     device_map=device,