Update README.md

Fixed typos.
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@ -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: