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import gradio as gr | |
from fastai.vision.all import load_learner | |
model = load_learner('export.pkl') | |
categories = tuple(sorted(['eagle', 'hawk', 'falcon', 'owl', 'vulture'])) | |
def classify_bird(img): | |
pred, idx, probs = model.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
image = gr.inputs.Image(shape=(256, 256)) | |
label = gr.outputs.Label(num_top_classes=5) | |
examples = ['./example_images/' + e for e in ['eagle.jpg', 'hawk.jpg', 'falcon.jpg', 'owl.jpg', 'vulture.jpg']] | |
iface = gr.Interface( | |
fn=classify_bird, | |
inputs=image, | |
outputs=label, | |
examples=examples, | |
title='Birds of Prey Classifier', | |
description='Classifies images as one of 5 classes: eagle, hawk, falcon, owl, vulture', | |
allow_flagging='never' | |
) | |
iface.launch() |