From e0c1572d057032735c3118e9137be8e4399c6251 Mon Sep 17 00:00:00 2001
From: 34j <55338215+34j@users.noreply.github.com>
Date: Wed, 22 Mar 2023 22:58:38 +0900
Subject: [PATCH] docs(readme): shorten docs (#75)

---
 README.md | 45 ++++++++++++---------------------------------
 1 file changed, 12 insertions(+), 33 deletions(-)

diff --git a/README.md b/README.md
index 0560e7e0..77a11dc1 100644
--- a/README.md
+++ b/README.md
@@ -32,30 +32,21 @@
 
 A fork of [`so-vits-svc`](https://github.com/svc-develop-team/so-vits-svc) with **realtime support** and **greatly improved interface**. Based on branch `4.0` (v1) and the models are compatible.
 
-## Installation
-
-### (Create a virtual environment)
-
-Windows:
-
-```shell
-py -3.10 -m venv venv
-venv\Scripts\activate
-```
-
-Linux/MacOS:
+## Features not available in the original repo
 
-```shell
-python3.10 -m venv venv
-source venv/bin/activate
-```
+- **Realtime voice conversion** (enhanced in v1.1.0)
+- More accurate pitch estimation using CREPE
+- GUI available
+- Unified command-line interface (no need to run Python scripts)
+- Ready to use just by installing with `pip`.
+- Automatically download pretrained base model and HuBERT model
+- Code completely formatted with black, isort, autoflake etc.
+- Volume normalization in preprocessing
+- Other minor differences
 
-Anaconda:
+## Installation
 
-```shell
-conda create -n so-vits-svc-fork python=3.10 pip
-conda activate so-vits-svc-fork
-```
+### [Creating a Virtual Environment](https://github.com/34j/so-vits-svc-fork/wiki#creating-a-virtual-environment)
 
 ### Install
 
@@ -74,18 +65,6 @@ Please update this package regularly to get the latest features and bug fixes.
 pip install -U so-vits-svc-fork
 ```
 
-## Features not available in the original repo
-
-- **Realtime voice conversion** (enhanced in v1.1.0)
-- More accurate pitch estimation using CREPE
-- GUI available
-- Unified command-line interface (no need to run Python scripts)
-- Ready to use just by installing with `pip`.
-- Automatically download pretrained base model and HuBERT model
-- Code completely formatted with black, isort, autoflake etc.
-- Volume normalization in preprocessing
-- Other minor differences
-
 ## Usage
 
 ### Inference