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import gradio as gr
from fastai.vision.widgets import *
from fastbook import *
learn = load_learner(r"fastbook/export.pkl")
categories = ('Grizzly','Black','Teddy')
def classify_images(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['fastbook/bears/black/0d147856-6c48-449c-80a1-8ea58587d207.jpg']
def greet(name):
return "Hello " + name + "!!"
iface = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
iface.launch() |