From 4cadb054deaa0e59fbdfa8b317ad2bfd2bb5218d Mon Sep 17 00:00:00 2001
From: Preveen <31360059+donpro2009@users.noreply.github.com>
Date: Wed, 14 Aug 2024 08:45:20 -0300
Subject: [PATCH] Update README.md

Fixed typos.
---
 README.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index f108125..20aadc7 100644
--- a/README.md
+++ b/README.md
@@ -13,11 +13,11 @@ Users of this software are expected to use this software responsibly while abidi
 
 ### Basic: It is more likely to work on your computer but it will also be very slow. You can follow instructions for the basic install (This usually runs via **CPU**)
 #### 1.Setup your platform
--   python (3.10 recommended)
--   pip
--   git
--   [ffmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) 
--   [visual studio 2022 runtimes (windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
+-   Python (3.10 recommended)
+-   Pip
+-   Git
+-   [FFmpeg](https://www.youtube.com/watch?v=OlNWCpFdVMA) 
+-   [Visual Studio 2022 Runtimes (Windows)](https://visualstudio.microsoft.com/visual-cpp-build-tools/)
 #### 2. Clone Repository
     https://github.com/hacksider/Deep-Live-Cam.git
 
@@ -33,12 +33,12 @@ We highly recommend to work with a  `venv`  to avoid issues.
 ```
 pip install -r requirements.txt
 ```
-##### DONE!!! If you dont have any GPU, You should be able to run roop using `python run.py` command. Keep in mind that while running the program for first time, it will download some models which can take time depending on your network connection.
+##### DONE! If you don't have any GPU, you should be able to run roop using `python run.py` command. Keep in mind that while running the program for first time, it will download some models which can take time depending on your network connection.
 
 ### *Proceed if you want to use GPU Acceleration
 ### CUDA Execution Provider (Nvidia)*
 
-1.  Install  [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive)
+1.  Install [CUDA Toolkit 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive)
     
 2.  Install dependencies: