Update app.py

app.py

@@ -4,9 +4,11 @@ import threading
 import time
 
 # Cargar el modelo de lenguaje preentrenado
-model_name = "gpt2"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name)
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "EleutherAI/gpt-neo-2.7B"
+tokenizer = AutoTokenizer.from_pretrained(model_name, use_auth_token=True)
+model = AutoModelForCausalLM.from_pretrained(model_name, use_auth_token=True)
 
 # Crear una función para comunicación en segundo plano
 def background_communication(response_log, stop_event):