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#|export
#from fastcore.all import *
from fastai.vision.all import *
from fastbook import load_learner
import gradio as gr
inf = load_learner('LeopardCheetah (1).pkl')
categories = ('Cat', 'Cheetah', 'Other', 'Leopard', 'Lion', 'Snow Leopard', 'Tiger')
def classify_img(img):
pred, idx, probs = inf.predict(img)
return dict(zip(categories,map(float,probs)))
#|export
#This creates the gradio interface
image = gr.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['cheetah.jpg','leopard.jpg','img.jpg']
intf = gr.Interface(fn = classify_img, inputs=image,outputs=label,examples = examples)
intf.launch()
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