# 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()