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from fastai.vision.all import *
import gradio as gr
learn=load_learner('export.pkl')
categories=learn.dls.vocab
def classify(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=['Barbell.png','Dumbbell3.png','Kettlebell.png']
intf=gr.Interface(fn=classify,inputs=image,outputs=label,examples=examples)
intf.launch() |