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from fastai.vision.all import *
import gradio as gr
learn_inf = load_learner('export.pkl')
def classify_image(img):
pred,pred_idx,probs = learn_inf.predict(img)
return dict(zip(pred, map(float, probs[pred_idx])))
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()
examples = ['1.jpg', '2.jpg', '3.jpg']
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False) |