#__all__ =  ['Hyundai Venue','Maruti Suzuki Swift', 'Hyndai Creta', 'Hyundai i10', 'Maruti Suzuki WagonR', 'Maruti Suzuki Alto']

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

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

learn = load_learner('model.pkl')
categories = ['Hyundai Venue','Maruti Suzuki Swift', 'Hyndai Creta', 'Hyundai i10', 'Maruti Suzuki WagonR', 'Maruti Suzuki Alto']

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()

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