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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 = "Is it a car or plane or bus?" | |
description = "Are you a vampire sleeping for last 500 years and struggling to cope with this new world? Have you ever looked at something and could not figure out if it is a car or plane or bus? Don't worry you can now use this app to help you figure what it is exactly" | |
examples = ['car.jpg', 'plane.jpg', 'bus.jpg'] | |
interpretation='default' | |
enable_queue=True | |
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation).launch() |