app.py

import gradio as gr
from fastai.vision.all import *
import skimage

learn = load_learner('pet_class_model.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 = "Pet Breed Classifier"
examples = ['siamese.jpg']


gr.Interface(fn=predict,
             inputs=gr.inputs.Image(shape=(512, 512)),
             outputs=gr.outputs.Label(num_top_classes=3),
             title=title,
             examples=examples,
             ).launch(share=False)