curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - && \
curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu20.04/nvidia-docker.list | \
sudo tee /etc/apt/sources.list.d/nvidia-docker.list && \
sudo apt-get update && \
sudo apt-get install -y nvidia-docker2

"Linux Mint 21.1" is ubuntu20.04
docker run --gpus all nvidia/cuda:10.2-cudnn7-devel nvidia-smi


docker run -it --rm --gpus all ubuntu nvidia-smi
docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base onerahmet/openai-whisper-asr-webservice:latest-gpu


https://www.youtube.com/watch?v=ZvIdFs3M5ic




############
 Welcome to the world of speech synthesis!
 
     #https://github.com/coqui-ai/TTS/tree/dev#install-tts
    #https://tts.readthedocs.io/en/latest/finetuning.html
	
	
	tts --list_models
	
	M: p233, 241, 264, !267, 269, 272
	F: !243, 244,248,250, 259, 263, 270, 271, 273/4/6 fast, 294, 297, 300, 
	BG?: 287
root@7b6397b7ecbe:~# tts --list_models
 Name format: type/language/dataset/model
 1: tts_models/multilingual/multi-dataset/your_tts
 2: tts_models/bg/cv/vits
 3: tts_models/cs/cv/vits
 4: tts_models/da/cv/vits
 5: tts_models/et/cv/vits
 6: tts_models/ga/cv/vits
 7: tts_models/en/ek1/tacotron2
 8: tts_models/en/ljspeech/tacotron2-DDC
 9: tts_models/en/ljspeech/tacotron2-DDC_ph
 10: tts_models/en/ljspeech/glow-tts
 11: tts_models/en/ljspeech/speedy-speech
 12: tts_models/en/ljspeech/tacotron2-DCA
 13: tts_models/en/ljspeech/vits
 14: tts_models/en/ljspeech/vits--neon
 15: tts_models/en/ljspeech/fast_pitch
 16: tts_models/en/ljspeech/overflow
 17: tts_models/en/ljspeech/neural_hmm
 18: tts_models/en/vctk/vits [already downloaded]
 19: tts_models/en/vctk/fast_pitch
 20: tts_models/en/sam/tacotron-DDC
 21: tts_models/en/blizzard2013/capacitron-t2-c50
 22: tts_models/en/blizzard2013/capacitron-t2-c150_v2
 23: tts_models/es/mai/tacotron2-DDC
 24: tts_models/es/css10/vits
 25: tts_models/fr/mai/tacotron2-DDC
 26: tts_models/fr/css10/vits
 27: tts_models/uk/mai/glow-tts
 28: tts_models/uk/mai/vits
 29: tts_models/zh-CN/baker/tacotron2-DDC-GST
 30: tts_models/nl/mai/tacotron2-DDC
 31: tts_models/nl/css10/vits
 32: tts_models/de/thorsten/tacotron2-DCA
 33: tts_models/de/thorsten/vits
 34: tts_models/de/thorsten/tacotron2-DDC
 35: tts_models/de/css10/vits-neon
 36: tts_models/ja/kokoro/tacotron2-DDC
 37: tts_models/tr/common-voice/glow-tts
 38: tts_models/it/mai_female/glow-tts
 39: tts_models/it/mai_female/vits
 40: tts_models/it/mai_male/glow-tts
 41: tts_models/it/mai_male/vits
 42: tts_models/ewe/openbible/vits
 43: tts_models/hau/openbible/vits
 44: tts_models/lin/openbible/vits
 45: tts_models/tw_akuapem/openbible/vits
 46: tts_models/tw_asante/openbible/vits
 47: tts_models/yor/openbible/vits
 48: tts_models/hu/css10/vits
 49: tts_models/el/cv/vits
 50: tts_models/fi/css10/vits
 51: tts_models/hr/cv/vits
 52: tts_models/lt/cv/vits
 53: tts_models/lv/cv/vits
 54: tts_models/mt/cv/vits
 55: tts_models/pl/mai_female/vits
 56: tts_models/pt/cv/vits
 57: tts_models/ro/cv/vits
 58: tts_models/sk/cv/vits
 59: tts_models/sl/cv/vits
 60: tts_models/sv/cv/vits
 61: tts_models/ca/custom/vits
 62: tts_models/fa/custom/glow-tts
 Name format: type/language/dataset/model
 1: vocoder_models/universal/libri-tts/wavegrad
 2: vocoder_models/universal/libri-tts/fullband-melgan
 3: vocoder_models/en/ek1/wavegrad
 4: vocoder_models/en/ljspeech/multiband-melgan
 5: vocoder_models/en/ljspeech/hifigan_v2
 6: vocoder_models/en/ljspeech/univnet
 7: vocoder_models/en/blizzard2013/hifigan_v2
 8: vocoder_models/en/vctk/hifigan_v2
 9: vocoder_models/en/sam/hifigan_v2
 10: vocoder_models/nl/mai/parallel-wavegan
 11: vocoder_models/de/thorsten/wavegrad
 12: vocoder_models/de/thorsten/fullband-melgan
 13: vocoder_models/de/thorsten/hifigan_v1
 14: vocoder_models/ja/kokoro/hifigan_v1
 15: vocoder_models/uk/mai/multiband-melgan
 16: vocoder_models/tr/common-voice/hifigan