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

learn = load_learner('model.pkl')

categories = ('Common crested nuthatch', 'Great Spotted Woodpecker', 'Masked wagtail', 'Sparrow', 'Squirrel', 'Tit')
              
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 = ['tint.jpeg', 'Common crested nuthatch.jpeg', 'Great Spotted Woodpecker.jpeg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=True)