import gradio as gr
form fastai.vision.all import *
def is_cat(): return x[0].is_upper()


learn = load_learner('model.pkl')

categories = ("Dog", "Cat")

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

image = gr.inputs.Image(shape = (192, 192))
label = gr.outputs.Label()

examples = []

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