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README.md

@@ -1,162 +1,8 @@
-<div align="center">
-  <div>&nbsp;</div>
-  <img src="logo.png" width="200"/> 
-</div>
-
-## Introduction
-MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
-
-| Language | Example |
-| --- | --- |
-| English               | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |
-| English (American)    | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |
-| English (British)     | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |
-| English (Indian)       | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |
-| English (Australian)  | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |
-| Spanish               | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |
-| French                | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |
-| Chinese (mix EN)      | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |
-| Japanese              | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |
-| 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`.
-
-## Install on Linux
-```bash
-git clone git@github.com:myshell-ai/MeloTTS.git
-cd MeloTTS
-pip install -e .
-python -m unidic download
-```
-We welcome the open-source community to make this repo `Mac` and `Windows` compatible. If you find this repo useful, please consider contributing to the repo.
-
-## Usage
-
-### English with Multi Accents
-```python
-from melo.api import TTS
-
-# Speed is adjustable
-speed = 1.0
-
-# CPU is sufficient for real-time inference.
-# You can also change to cuda:0
-device = 'cpu'
-
-# English 
-text = "Did you ever hear a folk tale about a giant turtle?"
-model = TTS(language='EN', device=device)
-speaker_ids = model.hps.data.spk2id
-
-# Default accent
-output_path = 'en-default.wav'
-model.tts_to_file(text, speaker_ids['EN-Default'], output_path, speed=speed)
-
-# American accent
-output_path = 'en-us.wav'
-model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed)
-
-# British accent
-output_path = 'en-br.wav'
-model.tts_to_file(text, speaker_ids['EN-BR'], output_path, speed=speed)
-
-# Indian accent
-output_path = 'en-india.wav'
-model.tts_to_file(text, speaker_ids['EN_INDIA'], output_path, speed=speed)
-
-# Australian accent
-output_path = 'en-au.wav'
-model.tts_to_file(text, speaker_ids['EN-AU'], output_path, speed=speed)
-
-```
-
-### Spanish
-```python
-from melo.api import TTS
-
-# Speed is adjustable
-speed = 1.0
-
-# CPU is sufficient for real-time inference.
-# You can also change to cuda:0
-device = 'cpu'
-
-text = "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante."
-model = TTS(language='ES', device=device)
-speaker_ids = model.hps.data.spk2id
-
-output_path = 'es.wav'
-model.tts_to_file(text, speaker_ids['ES'], output_path, speed=speed)
-```
-
-### French
-```python
-from melo.api import TTS
-
-# Speed is adjustable
-speed = 1.0
-device = 'cpu' # or cuda:0
-
-text = "La lueur dorée du soleil caresse les vagues, peignant le ciel d'une palette éblouissante."
-model = TTS(language='FR', device=device)
-speaker_ids = model.hps.data.spk2id
-
-output_path = 'fr.wav'
-model.tts_to_file(text, speaker_ids['FR'], output_path, speed=speed)
-```
-
-### Chinese
-```python
-from melo.api import TTS
-
-# Speed is adjustable
-speed = 1.0
-device = 'cpu' # or cuda:0
-
-text = "我最近在学习machine learning，希望能够在未来的artificial intelligence领域有所建树。"
-model = TTS(language='ZH', device=device)
-speaker_ids = model.hps.data.spk2id
-
-output_path = 'zh.wav'
-model.tts_to_file(text, speaker_ids['ZH'], output_path, speed=speed)
-```
-
-### Japanese
-```python
-from melo.api import TTS
-
-# Speed is adjustable
-speed = 1.0
-device = 'cpu' # or cuda:0
-
-text = "彼は毎朝ジョギングをして体を健康に保っています。"
-model = TTS(language='JP', device=device)
-speaker_ids = model.hps.data.spk2id
-
-output_path = 'jp.wav'
-model.tts_to_file(text, speaker_ids['JP'], output_path, speed=speed)
-```
-
-### Korean
-```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)
-```
-
-## License
-This library is under MIT License. Free for both commercial and non-commercial use.
-
-## Acknowledgement
-This implementation is based on several excellent projects, [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!
+---
+title: MeloTTS
+colorFrom: blue
+colorTo: blue
+sdk: gradio
+app_file: app.py
+pinned: false
+---