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

repo_id = "GabrielMI/entregable2"

learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab

def predict(img):
    pred,pred_idx,probs = learner.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}
    
gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3),examples=['imagen1.jpg','imagen2.jpg', 'imagen3.jpg', 'imagen4.jpeg']).launch(share=False)