import gradio as gr | |
from fastai.vision.all import * | |
import skimage | |
learn = load_learner('model.pkl') | |
labels = learn.dls.vocab | |
def predict(image): | |
image = PILImage.create(image) | |
brand, idx, probs = learn.predict(image) | |
return dict(zip(labels, map(float,probs))) | |
demo = gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label()) | |
demo.launch() |