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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) |