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# %%
from fastai.vision.all import *
import gradio as gr
# %%
learn = load_learner('export.pkl')
# %%
categories = ('desktop pc','laptop','mobile phone')
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 = ['dell 20.jpg', 'dell inspiron.jpg', 'desktop pc on table.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)
# %%
## end -
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