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from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
learn = 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.components.Image(shape=(192,192))
label = gr.components.Label()
examples = ['dog.jpg', 'cat.jpeg', 'cat.webp']
interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
interface.launch(inline='false') |