Update app.py

app.py

@@ -1,13 +1,8 @@
 import time
 import requests 
 import gradio as gr
-from langfuse.decorators import observe, langfuse_context
-from langfuse.openai import OpenAI
+from openai import OpenAI
 
-# set Langfuse api keys and host address
-LANGFUSE_PUBLIC_KEY = 'pk-lf-5d3260be-dc58-40e9-9ff7-d50eaf6f30a1'
-LANGFUSE_SECRET_KEY = 'sk-lf-0d292645-e04c-4ef5-a3e3-966b200843c0'
-LANGFUSE_HOST = "https://cloud.langfuse.com"
 MODELOS_DE_OPENROUTER = "https://openrouter.ai/api/v1/models"
 URL="https://openrouter.ai/api/v1"
 REQUEST_SUCESSFULL = 200
@@ -17,9 +12,7 @@ def obtener_modelos():
     if respuesta.status_code == REQUEST_SUCESSFULL:
         return [modelo["id"] for modelo in respuesta.json().get("data", [])]
 
-@observe
 def obtener_respuesta(modelo, api_key, prompt):
-    langfuse_context.update_current_observation(input=[modelo, prompt])
     client = OpenAI(base_url=URL, api_key=api_key)
     mensajes = [{"role": "assistant", "content": prompt}]
     respuesta = client.chat.completions.create(model=modelo, messages=mensajes)