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

def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl')
categories = ('Dog', 'Cat')

def classify_image(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 = ['cat.jpg', 'dog.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title='Cat or Dog Classifier', description='Upload an image of a cat or dog and the model will classify it as a cat or dog. The model was trained on the Oxford-IIIT Pet Dataset.', thumbnail='https://i.imgur.com/3Zm9KQH.png')
intf.launch(inline=False)