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from fastai.vision.all import *
import gradio as gr
learner = load_learner('model.pkl')
categories = ("Dog", "Cat")
def is_cat(x): return x[0].isupper()
def infer(img):
_, _, prob = learner.predict(img)
return dict(zip(categories, map(float, prob)))
image = gr.inputs.Image(shape(192, 192))
label = gr.outputs.Label()
iface = gr.Interface(fn=infer, inputs=image, outputs=label)
iface.launch() |