add format RM

README.md

@@ -1,45 +1,10 @@
-# VITS for Japanese
-
-*VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech*
-
-*Several recent end-to-end text-to-speech (TTS) models enabling single-stage training and parallel sampling have been proposed, but their sample quality does not match that of two-stage TTS systems. In the repository, I will introduce a VITS model for Japanese on pytorch version 2.0.0 that customed from [VITS model](https://github.com/jaywalnut310/vits).*
-
-We also provide the [pretrained models](https://drive.google.com/file/d/13LShhGTpVhwQTWonR-mzzZA4-burHzVD/view?usp=sharing).
-<table style="width:100%">
-  <tr>
-    <th>VITS at training</th>
-    <th>VITS at inference</th>
-  </tr>
-  <tr>
-    <td><img src="resources/fig_1a.png" alt="VITS at training" height="400"></td>
-    <td><img src="resources/fig_1b.png" alt="VITS at inference" height="400"></td>
-  </tr>
-</table>
-
-
-## Pre-requisites
-0. Python >= 3.6
-0. Clone this repository
-0. Install python requirements. Please refer [requirements.txt](requirements.txt)
-0. Download datasets
-    1. Download and extract the [Japanese Speech dataset](https://sites.google.com/site/shinnosuketakamichi/publication/jsut), then choose `basic5000` dataset and move to `jp_dataset` folder. 
-0. Build Monotonic Alignment Search and run preprocessing if you use your own datasets.
-```sh
-# Cython-version Monotonoic Alignment Search
-cd monotonic_align
-python setup.py build_ext --inplace
-
-# Preprocessing (g2p) for your own datasets. Preprocessed phonemes for LJ Speech and VCTK have been already provided.
-# python preprocess.py --text_index 1 --filelists filelists/jp_audio_text_train_filelist.txt filelists/jp_audio_text_val_filelist.txt filelists/jp_audio_text_test_filelist.txt
-```
-
-
-## Training Example
-```sh
-# JP Speech
-python train.py -c configs/jp_base.json -m jp_base
-```
-
-
-## Inference Example
-See [vits_apply.ipynb](vits_apply.ipynb)
+title: Text to Speech for Japanes
+emoji: 🏢
+colorFrom: purple
+colorTo: gray
+sdk: gradio
+sdk_version: 3.29.0
+app_file: app.py
+pinned: false
+tags:
+  - vits-tts