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import gradio as gr
from fastai.vision.widgets import *
from fastbook import *
learn = load_learner("/Users/rs/dl-prep/fastbook/export.pkl")
categories = ('Black','Grizzly','Teddy')
def classify_images(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image(height=192,width=192)
label = gr.Label()
examples = ['/Users/rs/dl-prep/fastbook/bears/black/0b439e6e-4808-4e98-aa07-9090d3fc2237.jpg', "/Users/rs/dl-prep/fastbook/bears/black/0d147856-6c48-449c-80a1-8ea58587d207.jpg","/Users/rs/dl-prep/fastbook/bears/teddy/0e6b5384-bff6-4ee2-a7bf-77c9c566a4dc.jpg"]
def greet(name):
return "Hello " + name + "!!"
iface = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
iface.launch() |