File size: 570 Bytes
caf89b7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
labels = learn.dls.vocab
examples = ['tlou.png', 'tw.png', 'ds.png', 'dmc.png', 'mgs.jpg', 'rdr.png']
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))}
gr.Interface(fn=predict,
inputs=gr.components.Image(shape=(512, 512)),
outputs=gr.components.Label(num_top_classes=6),
examples=examples
).launch(share=False)
|