from fastai.vision.all import *
import gradio as gr
learn = load_learner('model4.pkl')

categories = learn.dls.vocab

def classify_image(img):
        pred,idx,probs = learn.predict(img)
        return dict(zip(categories,map(float,probs)))
    
image = gr.inputs.Image(shape=(400,400))
label = gr.outputs.Label()
examples = ['Rows.png','Sheets.png','Numbers.png']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)