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feat: 添加 HuggingFace Space API 调用测试脚本
Browse files- hf_space_api_predict_test.py +32 -0
hf_space_api_predict_test.py
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from gradio_client import Client, handle_file
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import numpy as np
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from PIL import Image
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import io
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def test_gradio_api():
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client = Client("Hakureirm/NailongKiller")
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result = client.predict(
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img=handle_file("example1.jpg"),
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api_name="/predict"
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)
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# 如果结果是临时文件路径
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if isinstance(result, str):
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# 读取图像数据并直接转换为 PIL Image
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img = Image.open(result)
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# 保存到指定位置
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img.save("detection_result.jpg")
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# 删除临时文件
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import os
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os.remove(result)
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print("检测结果已保存为 detection_result.jpg")
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return "已完成检测并保存结果"
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if __name__ == "__main__":
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try:
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message = test_gradio_api()
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print(message)
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except Exception as e:
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print(f"错误: {str(e)}")
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