app.py

__all__ = ['learn', 'categories', 'classifier', 'image', 'label', 'examples', 'intf']



from fastcore.all import *
from fastdownload import download_url
from fastai.vision.all import *
import gradio as gr

learn = load_learner('model.pkl')

categories = ('Great Wall of China', 'Chichén Itzá', 'Petra', 'Machu Picchu', 'Christ the Redeemer', 'Colosseum', 'Taj Mahal')

def classifier(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))


image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['great.jpg', 'chic.jpg', 'petra.jpg', 'machu.jpg', 'ch.jpg', 'colo.jpg', 'taj.jpg']

intf = gr.Interface(fn = classifier, inputs = image, outputs = label, examples = examples)
intf.launch(inline = False)