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#!/usr/bin/env python
# coding: utf-8
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#from fastai.vision.widgets import *
from huggingface_hub import from_pretrained_fastai
learner = from_pretrained_fastai("export.pkl")
#learn = learner.load(path/"export.pkl")
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
import gradio as gr
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch(inline=False)
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