Update app.py

app.py

@@ -1,14 +1,17 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
-# Cargar el modelo de generación de texto
-generator = pipeline('text-generation', model='gpt2')
+# Cargar el modelo de Llama 2
+model_name = "meta-llama/Llama-2-7b-chat-hf"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
-# Definir la función para generar texto
 def generate_text(prompt):
-    response = generator(prompt, max_length=50, num_return_sequences=1)
+    response = generator(prompt, max_length=60, num_return_sequences=1, temperature=0.5, top_p=0.85)
     return response[0]['generated_text']
 
-# Crear la interfaz con Gradio
 iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
 iface.launch()
+