import gradio as gr from transformers import pipeline classifier = pipeline("image-classification", model="Asseh/Ball_Classification") def predict(input_img): predictions = pipe(input_img) return input_img, {p["label"]: p["score"] for p in predictions} gradio_app = gr.Interface( predict, inputs = gr.Image(label = "Select Image", sources=['upload', 'webcam'], type="pil"), outputs = [gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=15)], title="Which type of ball" ) if __name__ == "__main__": gradio_app.launch()