Update README.md

README.md

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 ---
 license: mit
+language:
+- ko
+pipeline_tag: text-to-speech
 ---
+
+# MeloTTS
+
+MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
+
+
+| Model card | Example |
+| --- | --- |
+| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American)    | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |
+| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (British)     | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |
+| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Indian)      | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |
+| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Australian)  | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |
+| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Default)     | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |
+| [Spanish](https://huggingface.co/myshell-ai/MeloTTS-Spanish)               | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |
+| [French](https://huggingface.co/myshell-ai/MeloTTS-French)                | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |
+| [Chinese](https://huggingface.co/myshell-ai/MeloTTS-Chinese) (mix EN)      | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |
+| [Japanese](https://huggingface.co/myshell-ai/MeloTTS-Japanese)              | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |
+| [Korean](https://huggingface.co/myshell-ai/MeloTTS-Korean/)                | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) |
+
+Some other features include:
+- The Chinese speaker supports `mixed Chinese and English`.
+- Fast enough for `CPU real-time inference`.
+
+
+## Usage
+
+### Without Installation
+
+An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces.
+
+#### Use it on MyShell
+
+There are hundreds of TTS models on MyShell, much more than MeloTTS. See examples [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/quick_use.md#use-melotts-without-installation).
+More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop).
+
+### Install and Use Locally
+
+Follow the installation steps [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install) before using the following snippet:
+
+```python
+from melo.api import TTS
+
+# Speed is adjustable
+speed = 1.0
+device = 'cpu' # or cuda:0
+
+text = "안녕하세요! 오늘은 날씨가 정말 좋네요."
+model = TTS(language='KR', device=device)
+speaker_ids = model.hps.data.spk2id
+
+output_path = 'kr.wav'
+model.tts_to_file(text, speaker_ids['KR'], output_path, speed=speed)
+```
+
+
+## Join the Community
+
+**Open Source AI Grant**
+
+We are actively sponsoring open-source AI projects. The sponsorship includes GPU resources, fundings and intellectual support (collaboration with top research labs). We welcome both reseach and engineering projects, as long as the open-source community needs them. Please contact [Zengyi Qin](https://www.qinzy.tech/) if you are interested.
+
+**Contributing**
+
+If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS).
+
+- Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part.
+
+## License
+
+This library is under MIT License, which means it is free for both commercial and non-commercial use.
+
+## Acknowledgements
+
+This implementation is based on [TTS](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), [VITS2](https://github.com/daniilrobnikov/vits2) and [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2). We appreciate their awesome work.
+