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from fastai.vision.all import *
import gradio as gr
learn = load_learner('mnist_model.pkl')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return pred
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = []
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False) |