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__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
from fastai.vision.all import *
import gradio as gr
def is_cat(x):
return x[0].isupper()
learn = load_learner("model.pkl")
categories = ('Dog', "Cat")
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
#image = gr.input.Image(shape = (192,192))
#label = gr.outputs.Label()
examples = ['dog.jpg']
intf = gr.Interface(fn= classify_image, inputs= gr.Image() , outputs= gr.Label(), examples = examples)
intf.launch(inline = False)
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