gradio-test / app.py
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import gradio as gr
from fastai.vision.all import *
learn = load_learner('model.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred, pred_idx, probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
title = "Gradio test"
description = "Quick Fastai classifier for bird/forest."
examples = ['examples/bird.jpg', 'examples/tree.jpg', 'examples/rainforest.jpg']
gr.Interface(
fn=predict,
inputs=gr.Image(),
outputs=gr.Label(num_top_classes=2),
title=title,
description=description,
examples=examples,
).launch()
iface.launch()