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

def is_cat(f): return f[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 = ['dog.jpeg']

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