app.py

from fastai.vision.all import *
import gradio as gr

learn = load_learner('MaskedFaces.pkl')

categories = ('With Mask','Without Mask')

def classify_image(img):
    pred,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 = ['MaskedFace.jpg','MaskedFace2.jpg','MaskedFace3.jpg','NoMask.jpg','NoMask2.jpg','NoMask3.jpg','NoMask4.jpg']

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