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

learn = load_learner('model_beeOrWasp.pkl')

labels = ('Bee', 'Wasp')
def predict(img):
  pred, pred_idx, prob = learn.predict(img)
  return dict(zip(labels, map(float, prob)))

title="Bee or wasp classifier"

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['bee.jpg', 'wasp.jpg']

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