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

learn = load_learner('export.pkl')
categories = ('Bird', 'Forest')

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 = ['bird.jpg', 'forest.jpg']

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