# Learning Nemo Toolkit

## Examples

I made a streaming example with `tts_stream.py`.

```
python tts_steam.py
```

Will take some time to load but eventually you will see
```
[NeMo I 2022-03-05 14:32:25 common:654] Instantiating model from pre-trained checkpoint
[NeMo I 2022-03-05 14:32:27 features:240] PADDING: 1
[NeMo I 2022-03-05 14:32:27 features:249] STFT using conv
[NeMo I 2022-03-05 14:32:27 features:251] STFT using exact pad
[NeMo I 2022-03-05 14:33:13 modelPT:376] Model SqueezeWaveModel was successfully restored from /home/toor/.cache/torch/NeMo/NeMo_1.0.0rc1/tts_squeezewave/d48f5835ac007ddb0c183bdbbbdace28/tts_squeezewave.nemo.
File tts_fifo_file already exists
Pipe text to tts_fifo_file
```

You can echo text steams to this file and the program will process them and play them on local speaker:

```
echo "I can't let you do that Dave." > tts_fifo_file
```

The first time it processes a text stream it will take a lot longer. It should get slightly faster after that first steam.

## Dependencies

I had

```
llvmlite-0.36.0-cp38-cp38-linux_aarch64.whl
onnxruntime_gpu-1.7.0-cp38-cp38-linux_aarch64.whl
torch-1.7.0-cp38-cp38-linux_aarch64.whl
```

In a dependencies folder. So I assume I hade these installed in then virtualenv manually