Update README.md

README.md

@@ -1,90 +1,13 @@
-# MB-iSTFT-VITS2
-
-![Alt text](resources/image6.png)
-
-A... [vits2_pytorch](https://github.com/p0p4k/vits2_pytorch) and [MB-iSTFT-VITS](https://github.com/MasayaKawamura/MB-iSTFT-VITS) hybrid... Gods, an abomination! Who created this atrocity?
-
-This is an experimental build. Does not guarantee performance, therefore. 
-
-According to [shigabeev](https://github.com/shigabeev)'s [experiment](https://github.com/FENRlR/MB-iSTFT-VITS2/issues/2), it can now dare claim the word SOTA for its performance (at least for Russian).
- 
-
-## pre-requisites
-1. Python >= 3.8
-2. CUDA
-3. [Pytorch](https://pytorch.org/get-started/previous-versions/#v1131) version 1.13.1 (+cu117)
-4. Clone this repository
-5. Install python requirements.
-   ```
-   pip install -r requirements.txt
-   ```
-   
-    ~~1. You may need to install espeak first: `apt-get install espeak`~~
-   
-   If you want to proceed with those cleaned texts in [filelists](filelists), you need to install espeak.
-   ```
-   apt-get install espeak
-   ```
-7. Prepare datasets & configuration
-   
-    ~~1. ex) Download and extract the LJ Speech dataset, then rename or create a link to the dataset folder: `ln -s /path/to/LJSpeech-1.1/wavs DUMMY1`~~
-   1. wav files (22050Hz Mono, PCM-16) 
-   2. Prepare text files. One for training<sup>[(ex)](filelists/ljs_audio_text_train_filelist.txt)</sup> and one for validation<sup>[(ex)](filelists/ljs_audio_text_val_filelist.txt)</sup>.
-      
-      - Single speaker<sup>[(ex)](filelists/ljs_audio_text_test_filelist.txt)</sup>
-      
-      ```
-      wavfile_path|transcript
-      ```
-      
-
-      - Multi speaker<sup>[(ex)](filelists/vctk_audio_sid_text_test_filelist.txt)</sup>
-      
-      ```
-      wavfile_path|speaker_id|transcript
-      ```
-   4. Run preprocessing with a [cleaner](text/cleaners.py) of your interest. You may change the [symbols](text/symbols.py) as well.
-      - Single speaker
-      ```
-      python preprocess.py --text_index 1 --filelists PATH_TO_train.txt --text_cleaners CLEANER_NAME
-      python preprocess.py --text_index 1 --filelists PATH_TO_val.txt --text_cleaners CLEANER_NAME
-      ```
-      
-      - Multi speaker
-      ```
-      python preprocess.py --text_index 2 --filelists PATH_TO_train.txt --text_cleaners CLEANER_NAME
-      python preprocess.py --text_index 2 --filelists PATH_TO_val.txt --text_cleaners CLEANER_NAME
-      ```
-      The resulting cleaned text would be like [this(single)](filelists/ljs_audio_text_test_filelist.txt.cleaned). <sup>[ex - multi](filelists/vctk_audio_sid_text_test_filelist.txt.cleaned)</sup> 
-      
-9. Build Monotonic Alignment Search.
-```sh
-# Cython-version Monotonoic Alignment Search
-cd monotonic_align
-mkdir monotonic_align
-python setup.py build_ext --inplace
-```
-8. Edit [configurations](configs) based on files and cleaners you used.
-
-## Setting json file in [configs](configs)
-| Model | How to set up json file in [configs](configs) | Sample of json file configuration|
-| :---: | :---: | :---: |
-| iSTFT-VITS2 | ```"istft_vits": true, ```<br>``` "upsample_rates": [8,8], ``` | istft_vits2_base.json |
-| MB-iSTFT-VITS2 | ```"subbands": 4,```<br>```"mb_istft_vits": true, ```<br>``` "upsample_rates": [4,4], ``` | mb_istft_vits2_base.json |
-| MS-iSTFT-VITS2 | ```"subbands": 4,```<br>```"ms_istft_vits": true, ```<br>``` "upsample_rates": [4,4], ``` | ms_istft_vits2_base.json |
-| Mini-iSTFT-VITS2 | ```"istft_vits": true, ```<br>``` "upsample_rates": [8,8], ```<br>```"hidden_channels": 96, ```<br>```"n_layers": 3,``` | mini_istft_vits2_base.json |
-| Mini-MB-iSTFT-VITS2 | ```"subbands": 4,```<br>```"mb_istft_vits": true, ```<br>``` "upsample_rates": [4,4], ```<br>```"hidden_channels": 96, ```<br>```"n_layers": 3,```<br>```"upsample_initial_channel": 256,``` | mini_mb_istft_vits2_base.json |
-
-## Training Example
-```sh
-# train_ms.py for multi speaker
-python train.py -c configs/mb_istft_vits2_base.json -m models/test
-```
-
-## Credits
-- [jaywalnut310/vits](https://github.com/jaywalnut310/vits)
-- [p0p4k/vits2_pytorch](https://github.com/p0p4k/vits2_pytorch)
-- [MasayaKawamura/MB-iSTFT-VITS](https://github.com/MasayaKawamura/MB-iSTFT-VITS)
-- [ORI-Muchim/PolyLangVITS](https://github.com/ORI-Muchim/PolyLangVITS)
-- [tonnetonne814/MB-iSTFT-VITS-44100-Ja](https://github.com/tonnetonne814/MB-iSTFT-VITS-44100-Ja)
-- [misakiudon/MB-iSTFT-VITS-multilingual](https://github.com/misakiudon/MB-iSTFT-VITS-multilingual)
+---
+title: VITS2 Chinese
+emoji: 🌊
+colorFrom: blue
+colorTo: pink
+sdk: gradio
+sdk_version: 3.36.1
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference