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

learn = load_learner("comics_classifier1.pkl")

def classify_image(img):
    publication, _, probs = learn.predict(img)
    return dict(zip(("DC", "Marvel"), map(float, probs)))

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["./ex_img/John_Constantine_0010.jpg", "./ex_img/ambush_bug2.jpg", "./ex_img/blade.jpg"]

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