TTS mobile help

I’m trying to implement fastspeech_quat.tflite into a flutter app. I’m using tflite_flutter package. I’ve loaded up the model like this Interpreter _interpreter = await Interpreter.fromAsset(‘fastspeech_quant.tflite’);

Next I wanted to run an inference on some text so I would use _interpreter.runForMultipleInputs(input, output)

I just don’t understand how to format the input and output for the model. So I ran _interpreter.getInputTensors() and I get

[ Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6b16ef80, name: input_ids, type: TfLiteType.int32, shape: [1, 1], data: 4, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6b16eff0, name: speaker_ids, type: TfLiteType.int32, shape: [1], data: 4, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6b16f060, name: speed_ratios, type: TfLiteType.float32, shape: [1], data: 4, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6b16f0d0, name: f0_ratios, type: TfLiteType.float32, shape: [1], data: 4, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6b16f140, name: energy_ratios, type: TfLiteType.float32, shape: [1], data: 4 ]

_interpreter.getOutputTensors() give me

[Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6ae108e0, name: Identity, type: TfLiteType.float32, shape: [1, 1, 80], data: 320, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6ae118a0, name: Identity_1, type: TfLiteType.float32, shape: [1, 1, 80], data: 320, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6ae05820, name: Identity_2, type: TfLiteType.int32, shape: [1, 1], data: 4, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6ae04e10, name: Identity_3, type: TfLiteType.float32, shape: [1, 1], data: 4, Tensor{_tensor: Pointer<TfLiteTensor>: address=0x6f6ae03750, name: Identity_4, type: TfLiteType.float32, shape: [1, 1], data: 4]

I need an example of how I would go about it. I’ve combed through examples but it’s just not clicking for me.