lowrollr
update flagging arg
3861e4e
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()