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from fastbook import *
import gradio as gr
## lets load the model
learn_inf = load_learner('bear_classifier_cat')
def bear_classifier(image):
pred,pred_idx,probs = learn_inf.predict(image)
pred_name = 'Prediction: ' + pred
pred_prob = 'Probability: ' + round(probs[pred_idx],4)
return pred_name, pred_prob
iface = gr.Interface(fn=bear_classifier, inputs=gr.inputs.Image(shape=(224, 224)), \
outputs=["text", "number"])
iface.launch(inline=False) |