| 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))} |
| |
| |
| 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) |
