app.py

 import gradio as gr
from transformers import pipeline

def responder(texto):
    pipe = pipeline("text-generation", model="Nextgengirls/MODELO_BECAS")
    salida = pipe(texto, max_new_tokens=100, do_sample=True, temperature=0.7)
    return salida[0]["generated_text"]

demo = gr.Interface(
    fn=responder,
    inputs=gr.Textbox(label="Pregunta"),
    outputs=gr.Textbox(label="Respuesta"),
    title="Asistente de Becas"
)

if __name__ == "__main__":
    demo.launch()