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

learn = load_learner('model.pkl')

categories = learn.dls.vocab

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


image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()
# examples = ['black-bear.jpg', 'grizzly-bear.jpg', 'teddy-bear.jpg']

title= "Car Classifer"

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