File size: 667 Bytes
9761238 c910f3a 9b5b908 cc86173 c910f3a 9761238 8b76723 38b2509 9761238 9b5b908 c68ca65 b89aa79 9761238 9b5b908 7b91098 a9c809f 9b5b908 9761238 7b91098 7b1f970 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
import gradio as gr
from huggingface_hub import from_pretrained_fastai
from fastai.learner import load_learner
from PIL import Image
from fastai.vision.all import load_learner
repo_id = "JuncalG/Practica1"
learner = from_pretrained_fastai(repo_id)
labels = learner.dls.vocab
def predict(img):
pred, pred_idx, probs = learner.predict(img)
return {str(learner.dls.vocab[i]): float(probs[i]) for i in range(len(probs))}
# Usar componentes nuevos (Gradio moderno)
demo = gr.Interface(
fn=predict,
inputs=gr.Image(type="pil"),
outputs=gr.Label(num_top_classes=5),
examples=['af3b0115aad1.png', 'b191ba0a2b12.png']
)
demo.launch(share=True) |