| | 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) |
