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import gradio as gr
form fastai.vision.all import *
def is_cat(): return x[0].is_upper()
learn = load_learner('model.pkl')
categories = ("Dog", "Cat")
def classify_image(img):
prob, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
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) |