app.py

import gradio as gr
from fastai.text.all import *


learn = load_learner('modelo_emociones_fastai.pkl')


categorias = learn.dls.vocab[1]


def clasificar_emocion(texto):
    pred, pred_idx, probs = learn.predict(texto)
    return dict(zip(categorias, map(float, probs)))


interfaz = gr.Interface(
    fn=clasificar_emocion,
    inputs=gr.Textbox(lines=3, placeholder="Escribe un texto en inglés aquí..."),
    outputs=gr.Label(num_top_classes=3),
    title="🤖 Analizador de Emociones",
    description="Modelo de Deep Learning entrenado con Fastai (ULMFiT) capaz de detectar 6 emociones distintas en texto.",
    examples=["I just got a promotion at work, this is amazing!", "I feel so lonely and cold today.", "Don't you dare talk to me like that!"]
)

interfaz.launch()