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

learn = load_learner('content/model.pkl')

categories = ('jellyfish','undersea')
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 = ['jellyfish.jpg', 'undersea.jpg']

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