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__all__ = ['is_cat', 'learn', 'categories', 'classify_image', 'image', 'label', 'examples', 'intf']
from fastai.vision.all import *
import gradio as gr
# learner refers to this function
def is_cat(x): return x[0].isupper()
# the model we trained for cat vs dog classification
learn = load_learner('model.pkl')
# function to be used in gradio interface
categories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
# gradio interface
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)
intf.launch(inline=False)
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