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import gradio as gr
from fastai.vision.all import *
def is_cat(x): return x[0].isupper()
learn = load_learner("model.pkl")
categories = ("Dog", "Cat")
def image_classifier(im):
pred, idx, probs = learn.predict(im)
return dict(zip(categories, map(float, probs)))
input = gr.inputs.Image(shape=(192, 192))
output = gr.outputs.Label()
examples = ["dog1.jpeg", "dog2.jpeg", "cat.jpeg", "catdog.jpeg", "otter.jpeg"]
interface = gr.Interface(fn=image_classifier, inputs=input, outputs=output, examples=examples)
interface.launch() |