app.py

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

def is_damaged(x): 
    return x[0].isupper()

learn = load_learner('car_model.pkl')

categories = ['Car', 'Damaged Car']

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

image = gr.Image()
label = gr.Label()

examples = ['car1.jpeg', 'car2.jpg']

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

intf.launch(inline=False)