app.py

import gradio as gr
from transformers import pipeline

# Intenta cargar el modelo
try:
    neutralizer = pipeline('text2text-generation', model='seayala/mbart-neutralization')
except Exception as e:
    print(f"Error al cargar el modelo: {e}")
    neutralizer = None

def neutralize(text):
    if neutralizer is None:
        return "El modelo no se ha podido cargar."
    
    result = neutralizer(text)
    return result[0]['generated_text']

iface = gr.Interface(
    fn=neutralize,
    inputs=gr.Textbox(lines=2, placeholder="Introduce una frase misógina..."),
    outputs="text",
    title="Neutralizador de frases misóginas",
    description="Este espacio utiliza el modelo seayala/mbart-neutralization para neutralizar frases misóginas.",
)

iface.launch()