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from fastai.vision.all import *
import gradio as gr
import pathlib
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
learn = load_learner("export.pkl" )
bear_types = ('grizzly' , 'black' , 'teddy')
def classify_image(img):
pred, pred_idx, probs = learn.predict(img)
return dict(zip(bear_types , map(float , probs)))
image = gr.inputs.Image(shape=(224 , 224))
label = gr.outputs.Label()
examples = ["teddy.jpg" , "black.jpg" , "grizzly.jpg" ]
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline = False)
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