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

learn = load_learner('covid_model.pkl')

categories = ('COVID', 'NON_COVID')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.Image(height=192, width=192)
label = gr.Label()
examples = ['covid.png']

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