from fastai.vision.all import * | |
import gradio as gr | |
learn = load_learner('tiger-model.pkl') | |
categories = ('Bengal', 'Siberian', 'White') | |
def classify_img(img): | |
preds, idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
image = gr.Image(shape=(192, 192)) | |
label = gr.Label() | |
examples = ['ben-tiger.jpg', 'sib-tiger.jpg'] | |
iface = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples) | |
iface.launch() | |