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

learn = load_learner("model.pkl")
categories = ("Butterfly", "Fish")

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 = ['fish.jpg', 'butterfly.jpg']

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