Update README.md (#1)

- Update README.md (f3c02034a73a67ab451f5bb9e9a817c1a8f9df18)


Co-authored-by: Wannaphong Phatthiyaphaibun <wannaphong@users.noreply.huggingface.co>

README.md

@@ -1,3 +1,33 @@
 ---
 license: mit
+datasets:
+- lunarlist/edited_common_voice
+language:
+- th
+library_name: nemo
+pipeline_tag: text-to-speech
 ---
+
+This model is a Thai TTS model that use a voice from [Common Voice dataset](https://commonvoice.mozilla.org/) and modify the voice to not to sound like the original.
+
+> pip install nemo_toolkit['tts'] soundfile
+
+```python
+from nemo.collections.tts.models import UnivNetModel
+from nemo.collections.tts.models import Tacotron2Model
+import torch
+import soundfile as sf
+
+model = Tacotron2Model.from_pretrained("lunarlist/tts-thai-last-step").to('cpu')
+vcoder_model = UnivNetModel.from_pretrained(model_name="tts_en_libritts_univnet")
+text='ภาษาไทย ง่าย นิด เดียว'
+dict_idx={k:i for i,k in enumerate(model.hparams["cfg"]['labels'])}
+parsed2=torch.Tensor([[66]+[dict_idx[i] for i in text if i]+[67]]).int().to("cpu")
+spectrogram2 = model.generate_spectrogram(tokens=parsed2)
+audio2 = vcoder_model.convert_spectrogram_to_audio(spec=spectrogram2)
+
+# Save the audio to disk in a file called speech.wav
+sf.write("speech.wav", audio2.to('cpu').detach().numpy()[0], 22050)
+```
+
+Medium: [Text-To-Speech ภาษาไทยด้วย Tacotron2](https://medium.com/@taetiyateachamatavorn/text-to-speech-%E0%B8%A0%E0%B8%B2%E0%B8%A9%E0%B8%B2%E0%B9%84%E0%B8%97%E0%B8%A2%E0%B8%94%E0%B9%89%E0%B8%A7%E0%B8%A2-tacotron2-986417b44edc)