Mtheo12/BImaster2

1import gradio as gr2from transformers import pipeline3 4pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")5 6def predict(input_img):7    predictions = pipeline(input_img)8    return input_img, {p["label"]: p["score"] for p in predictions} 9 10gradio_app = gr.Interface(11    predict,12    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),13    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],14    title="Hot Dog? Or Not?",15)16 17if __name__ == "__main__":18    gradio_app.launch()