app.py

import gradio as gr
from huggingface_hub import from_pretrained_fastai

learner = from_pretrained_fastai("k3kdev/dlb")

def predict(input_img):
    predictions = learner.predict(input_img)
    return input_img, {p["label"]: p["score"] for p in predictions}

gradio_app = gr.Interface(
    predict,
    inputs=gr.Image(label="Upload Image", sources=['upload', 'webcam'], type="pil"),
    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
    title="Hot Dog? Or Not?",
)

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