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


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

# Model
learn = load_learner("model.pkl")

# Categories
categories = ("Marth", "Sheik")


def classify_images(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(catogories, map(float, probs)))

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


intf = gr.Interface(fn = classify_images, inputs = image, outputs = label)  

intf.launch()