app.py

# Hot Dog or Not Classification

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()