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__all__ = ['categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
from fastai.vision.all import *
import gradio as gr
def is_cat(x):
return x[0].isupper()
categories = ('Dog', 'Cat')
learn = load_learner('model.pkl')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.components.Image(height = 192, width = 192)
label = gr.components.Label()
examples = ['example-dog.jpg', 'example-cat.jpg']
intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
intf.launch(inline = False, share=True)
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