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import gradio as gr
from fastai.vision.all import load_learner, PILImage
def is_cat(x):
return x[0].isupper()
learner = load_learner("model.pkl")
categories = ("Dog", "Cat")
def classify_image(img):
pred, idx, probs = learner.predict(img)
return dict(zip(categories, map(float, probs)))
examples = ["dog.jpg", "cat.jpg"]
image = gr.Image(height=192, width=192)
label = gr.Label()
# exam
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()
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