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

repo_id = "paascorb/practica8modelo"

learner = from_pretrained_fastai(repo_id)
labels = ["normal", "riesgo"]

def predict(txt):
    pred,pred_idx,probs = learner.predict(txt)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}
    
# Creamos la interfaz y la lanzamos. 
gr.Interface(fn=predict, inputs=gr.Textbox(lines=2, placeholder="Escriba su texto aquí..."), outputs=gr.outputs.Label(num_top_classes=2), examples=['He vuelto a vomitar, me siento fatal, pero me veo muy gorda.']).launch(share=False)