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from fastai.vision.all import *
from gradio import Interface, components
learn = load_learner('model.pkl')
categories = learn.dls.vocab
examples = ['bird.jpg']
# function for the prediction
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = components.Image(shape=(192, 192))
label = components.Label()
a = 1
intf = Interface(
fn=classify_image, inputs=[image], outputs=[label], examples=examples
)
intf.launch(debug=True) |