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

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

learn = load_learner('model.pkl')

catagories = ('Dog','Cat')
def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(catagories, map(float, probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['Ragdoll_235.jpg', 'saint_bernard_28.jpg', 'Ragdoll_254.jpg', 'samoyed_4.jpg','Ragdoll_202.jpg', 'saint_bernard_23.jpg']
title = 'Predict whether the image is that of a dog or a cat'

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