File size: 460 Bytes
9de3d47 b585850 5c614c7 b585850 c9804b6 b585850 c9804b6 9de3d47 b585850 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | import gradio as gr
def is_cat(x): return x[0].isupper()
learner = load_learner('model.pkl')
categories = ('dog', 'cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float(probs))))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpg','cat.jpg','dunno.jpg']
intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
intface.launch()
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