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(image):
    pred, pred_idx, probs = learn.predict(image)
    return dict(zip(categories, map(float, probs)))


image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label(num_top_classes=2)

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