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# ---
# jupyter:
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# extension: .py
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# language: python
# name: python3
# ---
# !conda install conda=23.7.3 -y
# !nbdev_migrate
#|export
# !pip install gradio
#|export
from fastai.vision.all import *
import gradio as gd
im = PILImage.create('car.jpg')
im.thumbnail((192,192))
im
#|export
learn = load_learner('export.pkl')
# %time learn.predict(im)
# +
#|export
categories = ('car','motorbike')
def classify_images(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
# -
classify_images(im)
# +
#|export
image = gd.inputs.Image(shape=(192,192))
label = gd.outputs.Label()
examples = ['car.jpg','bike.jpg']
intf = gd.Interface(fn = classify_images,inputs = image, outputs = label, examples = examples)
intf.launch(inline=False)
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