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import gradio as gr
from fastai.vision.all import *
title = """
<div style="text-align: center; max-width: 500px; margin: 0 auto;">
<div
style="
display: inline-flex;
align-items: center;
gap: 0.8rem;
font-size: 1.75rem;
margin-bottom: 10px;
"
>
<h1 style="font-weight: 600; margin-bottom: 7px;">
Grizzly/Black/Teddy bear classification
</h1>
</div>
<p style="margin-bottom: 10px;font-size: 94%;font-weight: 100;line-height: 1.5em;">
Please upload a Grizzly, Black or Teddy bear image for classification.
</p>
</div>
"""
learn = load_learner('export.pkl')
categories = ('grizzly', 'black', 'teddy')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch() |