如何将tensorflow图片分类数据存储到android app内部存储？

<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />

// 加载模型
TensorFlowInferenceInterface inferenceInterface = new TensorFlowInferenceInterface(getAssets(), "path/to/your/model.pb");

// 读取图像数据
Bitmap image = BitmapFactory.decodeResource(getResources(), R.drawable.your_image);

// 将图像转换为TensorFlow所需的输入格式
float[] input = preprocessImage(image);

// 输入图像数据到模型中进行分类
inferenceInterface.feed("input_tensor_name", input, 1, image.getWidth(), image.getHeight(), 3);
inferenceInterface.run(new String[]{"output_tensor_name"});
float[] output = new float[numClasses];
inferenceInterface.fetch("output_tensor_name", output);

// 解析输出结果
int predictedClass = argmax(output);

// 存储分类结果到内部存储
String result = "Predicted class: " + predictedClass;
saveToInternalStorage(result);

private void saveToInternalStorage(String result) {
    try {
        FileOutputStream fos = openFileOutput("classification_result.txt", Context.MODE_PRIVATE);
        fos.write(result.getBytes());
        fos.close();
    } catch (IOException e) {
        e.printStackTrace();
    }
}