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

repo_id = "joheras/emotion_entregable3"

learnerClass = from_pretrained_fastai(repo_id)
labels = ['sadness', 'joy', 'love', 'anger', 'fear', 'surprise']


def predict(text):
    pred, pred_idx, probs = learnerClass.predict(text)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}


gr.Interface(
    fn=predict,
    inputs=gr.Textbox(lines=3, placeholder="Escribe una frase que exprese un sentimiento..."),
    outputs=gr.Label(num_top_classes=3),
    title="Clasificador de emociones",
    description="Introduce la frase"
).launch()