import gradio as gr
from huggingface_hub import from_pretrained_fastai
from fastai.vision.all import *


hf_learn = from_pretrained_fastai("CarlosChcn/Pieridae_Classifier")

learn = hf_learn
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))}

gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=5)).launch(share=True)

if __name__ == '__main__':
    gradio_app.launch()