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)
    _,_,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

title = "Bear Detector"
description = "A Bear classifier trained on the Duck Duck go data with fastai. Created as a demo for Gradio and HuggingFace Spaces."
examples = ['grizzly.jpg','teddy.jpg','black.jpg']

gr.Interface(fn=predict,
             inputs=gr.Image(height=512, width=512),
             outputs=gr.Label(num_top_classes=3),
             title=title,
             description=description,
             examples=examples).launch()