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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) |