Update README.md

README.md

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-[中文文档请点击这里](https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/README_ZH.md)
-# VITS Fast Fine-tuning
-This repo will guide you to add your own character voices, or even your own voice, into existing VITS TTS model
-to make it able to do the following tasks in less than 1 hour:  
-
-1. Many-to-many voice conversion between any characters you added & preset characters in the model.
-2. English, Japanese & Chinese Text-to-Speech synthesis with the characters you added & preset characters  
-  
-
-Welcome to play around with the base models!  
-Chinese & English & Japanese：[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/Plachta/VITS-Umamusume-voice-synthesizer) Author: Me  
-
-Chinese & Japanese：[![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/sayashi/vits-uma-genshin-honkai) Author: [SayaSS](https://github.com/SayaSS)
-
-
-### Currently Supported Tasks:
-- [x] Clone character voice from 10+ short audios
-- [x] Clone character voice from long audio(s) >= 3 minutes (one audio should contain single speaker only)
-- [x] Clone character voice from videos(s) >= 3 minutes (one video should contain single speaker only)
-- [x] Clone character voice from BILIBILI video links (one video should contain single speaker only)
-
-### Currently Supported Characters for TTS & VC:
-- [x] Any character you wish as long as you have their voices!
-(Note that voice conversion can only be conducted between any two speakers in the model)
-
-
-
-## Fine-tuning
-It's recommended to perform fine-tuning on [Google Colab](https://colab.research.google.com/drive/1pn1xnFfdLK63gVXDwV4zCXfVeo8c-I-0?usp=sharing)
-because the original VITS has some dependencies that are difficult to configure.
-
-### How long does it take? 
-1. Install dependencies (3 min)
-2. Choose pretrained model to start. The detailed differences between them are described in [Colab Notebook](https://colab.research.google.com/drive/1pn1xnFfdLK63gVXDwV4zCXfVeo8c-I-0?usp=sharing)
-3. Upload the voice samples of the characters you wish to add，see [DATA.MD](https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/DATA_EN.MD) for detailed uploading options.
-4. Start fine-tuning. Time taken varies from 20 minutes ~ 2 hours, depending on the number of voices you uploaded.
-
-
-## Inference or Usage (Currently support Windows only)
-0. Remember to download your fine-tuned model!
-1. Download the latest release
-2. Put your model & config file into the folder `inference`, which are named `G_latest.pth` and `finetune_speaker.json`, respectively.
-3. The file structure should be as follows:
-```
-inference
-├───inference.exe
-├───...
-├───finetune_speaker.json
-└───G_latest.pth
-```
-4. run `inference.exe`, the browser should pop up automatically.
-
-## Use in MoeGoe
-0. Prepare downloaded model & config file, which are named `G_latest.pth` and `moegoe_config.json`, respectively.
-1. Follow [MoeGoe](https://github.com/CjangCjengh/MoeGoe) page instructions to install, configure path, and use.
-
+title: zhenhuan
+emoji: 🚀
+colorFrom: green
+colorTo: gray
+sdk: gradio
+sdk_version: 3.7
+app_file: app.py
+pinned: false