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import gradio as gr
import pathlib
from fastai.vision.all import *
import gradio as gr
# temp = pathlib.PosixPath
# pathlib.PosixPath = pathlib.WindowsPath
learn = load_learner('BreedModel.pkl')
categories = ('Bull Terrier', 'Dobermann', 'German Shepherd')
def classify_image(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 = ['Dominique/domi.jpg', 'Dominique/domi2.jpg','Dominique/domi3.jpg']
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch() |