app.py

from agents import Agent, ModelSettings, function_tool, Runner
import asyncio
import gradio as gr

@function_tool
def get_weather(city: str) -> str:
    print("Llamada a la funcion!")
    return f"El clima en {city} es diferente!"

@function_tool
def get_sum(sum: str) ->str:
    print("Se llamo a la funcion 2")
    return str(5+3)

agent = Agent(
    name="Agente del clima",
    instructions="Responde como reportero del clima, siempre usa tus herramientas.",
    model="gpt-4.1-mini",
    tools=[get_weather, get_sum],
)

# Función asíncrona
async def chat_fn(user_message, history):
    context = {"history": history}
    result = await Runner.run(agent, user_message, context=context)
    return result.final_output

demo = gr.ChatInterface(
    fn=chat_fn,
    description="Pregunta el clima.",
)

if __name__ == "__main__":
    import os
    os.environ["OPENAI_API_KEY"] = os.getenv("OPENAI_API_KEY")
    demo.launch()