IsItGeorge / app.py
lowrollr
george app
9f38b11
import gradio as gr
from fastai.vision.all import load_learner
model = load_learner('export.pkl')
categories = ('george', 'not_george')
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 = ['george1.jpeg', 'george2.jpg', 'george3.jpeg', 'not_george1.jpg', 'not_george2.jpg', 'not_george3.jpg']
iface = gr.Interface(
fn=classify_bird,
inputs=image,
outputs=label,
examples=examples,
title='George Classifier',
description='Determines whether an image is of george',
allow_flagging='never'
)
iface.launch()