from fastai.vision.all import *
import skimage

import gradio as gr

learn = load_learner('export_pets.pkl') #this is a kinda dog detector it seems
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,
            title="Pet Breed Classifier",
            description="Pet breed classifier using Oxford Pets Database. Test for Gradio and HuggingFace",
            inputs=gr.Image(width=512, height=512), #this is the proper syntax for images not the (shape=(xxx,xxx))
            outputs=gr.Label(num_top_classes=3)).launch(share=True)