app_hotdog_gradio.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")


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


gradio_app = gr.Interface(
    predict,
    inputs=gr.Image(
        label="Select hot dog candidate", 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()