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

learn = load_learner("model.pkl")

categories = ('Dobby','Gollum')

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 = ["dobby.jpg","gollum.jpg","dobby1.jpg","dobby2.jpg","gollum1.jpg"]

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