import gradio as gr
from huggingface_hub import from_pretrained_fastai

learn = from_pretrained_fastai("rubendewasch/porsche_or_bmw")

categories = ('BMW', 'Porsche')

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

gradio_app = gr.Interface(
    predict,
    inputs=gr.Image(label="Select car picture", sources=['upload', 'webcam'], type="pil"),
    outputs=[gr.Label(label="Result")],
    title="Porsche or BMW?",
)

if __name__ == "__main__":
    gradio_app.launch()