在Android Studio中，导入tensorflow lite模型后，如何使用生成的示例代码？

dependencies {
    implementation 'org.tensorflow:tensorflow-lite:2.5.0'
}

import org.tensorflow.lite.Interpreter;
import org.tensorflow.lite.Tensor;

Interpreter interpreter;
try {
    interpreter = new Interpreter(loadModelFile());
} catch (IOException e) {
    e.printStackTrace();
}

private MappedByteBuffer loadModelFile() throws IOException {
    AssetFileDescriptor fileDescriptor = getAssets().openFd("model.tflite");
    FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());
    FileChannel fileChannel = inputStream.getChannel();
    long startOffset = fileDescriptor.getStartOffset();
    long declaredLength = fileDescriptor.getDeclaredLength();
    return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
}

// 获取输入和输出Tensor
Tensor inputTensor = interpreter.getInputTensor(0);
Tensor outputTensor = interpreter.getOutputTensor(0);

// 准备输入数据
float[] inputData = prepareInputData();
inputTensor.copyFrom(inputData);

// 运行推理
interpreter.run();

// 获取输出结果
float[] outputData = new float[outputTensor.numElements()];
outputTensor.copyTo(outputData);

// 处理输出结果
processOutputData(outputData);