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import gradio as gr
from fastai.vision.all import *
from fastbook import *
from fastai.vision.widgets import *
import gradio as gr
from pathlib import Path
import pathlib
plt = platform.system()
if plt == 'Windows': pathlib.WindowsPath = pathlib.PosixPath
learn_inf = load_learner('export.pkl')
categories = ("maxi", "kairat")
def classify_image(img):
pred,idx,probs = learn_inf.predict(img)
return dict(zip(categories, map(float, probs)))
examples = ["maxi.jpg", "kairat.jpeg"]
intf = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(192, 192)), outputs=gr.outputs.Label(), examples=examples)
intf.launch(inline=False,share=True)
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