bunad-predicter / app.py
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import gradio as gr
from fastai.vision.all import *
learn = load_learner('export.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 = "Norwegian Bunads Classifier"
description = "A bunads classifier trained to classify if a bunad is a Nordlandsbunad, Trønderbunad, Hardangerbunaden, Vestfoldbunad"
gr.Interface(fn=predict, title=title, description=description, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=4)).launch(share=True)