Oh_Bugger_2k / app.py
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from fastai.vision.all import *
import gradio as gr
examples = ['carolina.jpg','abb.jpg','lady.jpg','mantis.jpg','monarch.jpg','western striped cucumber.jpg','carolina2.jpg', 'large milkweed bug.jpg', 'twice-stabbed.jpg', 'viceroy.jpg', 'lubber.jpg', 'GrashopperAulocaraElliotti958.webp']
intf = gr.load(src='models',name='flobbit/ohbugger2k/',
examples=examples,
title="Oh! Bugger! 2k", description="Trained on 130133 images over 2000 North American species using ResNet18. Provide an image or select from one below."
)
intf.launch()