File size: 918 Bytes
337aeb5 eff648a 337aeb5 eff648a 337aeb5 eff648a 337aeb5 eff648a |
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 28 29 30 31 |
import gradio as gr
from fastai.learner import load_learner
from fastai.vision.all import *
from gradio.components import Image, Label # Use Label para o output
# ... (restante do seu código)
learn = load_learner('export.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred, pred_idx, probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
title = "Agromarkers Classificador de Doença da Soja"
description = "Uma classificador de doenças treinado por IA "
article="<p style='text-align: center'><a href='https://www.agromarkers.com.br' target='_blank'>Home - Agromarkers</a></p>"
output = Label(num_top_classes=3)
gr.Interface(
fn=predict,
inputs=Image(type="pil", image_mode="RGB"),
outputs=output, # Use Label para a saída
title=title,
description=description,
article=article
).launch(share=False)
|