Update README.md

README.md

@@ -11,10 +11,12 @@ tags:
 ### How to use
 
 See example of inference pipeline for Russian TTS (G2P + FastPitch + HifiGAN) in this [notebook](https://github.com/bene-ges/nemo_compatible/blob/main/notebooks/Russian_TTS_with_IPA_G2P_FastPitch_and_HifiGAN.ipynb).
+Or use this [bash-script](https://github.com/bene-ges/nemo_compatible/blob/main/scripts/tts/ru_ipa_fastpitch_hifigan/test.sh)
 
 ### Input
 
-This model expects text converted to IPA-like transcriptions. See this [g2p model](https://huggingface.co/bene-ges/ru_g2p_ipa_bert_large) for conversion of plain Russian text to phonemes.
+This model is indended to be used in a G2P + FastPitch + HifiGAN pipeline (see above).
+If run independently, it expects text converted to IPA-like transcriptions. See this [g2p model](https://huggingface.co/bene-ges/ru_g2p_ipa_bert_large) for conversion of plain Russian text to phonemes.
 If you feed plain text directly, it will work, but quality will be low.
 
 ### Output
@@ -24,6 +26,7 @@ This model generates mel spectrograms.
 ## Training
 
 The NeMo toolkit [1] was used for training the model for 1000+ epochs.
+Full training script is [here](https://github.com/bene-ges/nemo_compatible/blob/main/scripts/tts/ru_ipa_fastpitch_hifigan/train.sh)
 
 ### Datasets