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()