from fastai.vision.all import *
import gradio as gr
from huggingface_hub import from_pretrained_fastai
import toml

print("Loading model")
learn = from_pretrained_fastai("marcmaniez/bears")
print("model loaded", learn)

# learn = load_learner('bears_model.pkl')

categories = ('grizzly', 'black', 'teddy')

def classify_image(img):
  pred, idx, probs = learn.predict(img)
  return dict(zip(categories, map(float, probs)))

img = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']

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