app.py

try:
    import spaces  # HF ZeroGPU 需要先於 torch/transformers 匯入
except ImportError:
    spaces = None

import gradio as gr
from transformers import pipeline


classifier = pipeline(
    task="image-classification",
    model="model",
    image_processor="model",
)

gpu = spaces.GPU if spaces else lambda fn: fn


@gpu
def predict(image):
    results = classifier(image, top_k=3)
    return {item["label"]: item["score"] for item in results}


demo = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="pil", label="Upload image"),
    outputs=gr.Label(num_top_classes=3, label="Prediction"),
    title="Ball Sport Classifier",
)


if __name__ == "__main__":
    demo.launch()