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import gradio as gr
import skimage
from fastai.vision.all import *
learn = load_learner('model.pkl')
categories = ('Coyote','Dog','Fox','Wolf')
def classify_image(img):
img = PILImage.create(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()
interpretation='default'
examples = ['Dog.jpg','Wolf.jpg','Fox.jpg','Coyote.jpg']
title = "Wolf-like Animal Classifier"
description = "A wolf-like animal classifier trained with fastai."
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, description=description, title=title, interpretation=interpretation)
intf.launch(inline=False) |