app.py

from transformers import pipeline

pipe = pipeline("text-generation", model="carlosdimare/qclase")

def responder(prompt):
    respuesta = pipe(prompt, max_new_tokens=200, do_sample=True)[0]["generated_text"]
    return respuesta

import gradio as gr
gr.Interface(fn=responder, inputs="text", outputs="text").launch()