Mac user support

README.md

@@ -83,6 +83,7 @@ It improves the quality of the lip-sync videos generated by the [Wav2Lip tool](h
 
 ## 💻 Installation
 
+# Windows Users
 1.Install [Visual Studio](https://visualstudio.microsoft.com/fr/downloads/). During the install, make sure to include the Python and C++ packages in visual studio installer.
    ![Illustration](demo/visual_studio_1.png)
    ![Illustration](demo/visual_studio_2.png)
@@ -136,6 +137,40 @@ set each field and click "Agree and access repository"
      ```
 10. double click on wav2lip-studio.bat, that will install the requirements and download models
 
+# MACOS Users
+1. Install python 3.9
+   `
+   brew update
+   brew install [email protected]
+   brew install git-lfs
+   git-lfs install
+   `
+3. Install environnement and requirements
+   `
+   cd /YourWav2lipStudioFolder
+   /opt/homebrew/bin/python3.9 -m venv venv
+   ./venv/bin/python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2
+   ./venv/bin/python3.9 -m pip install -r requirements.txt
+   ./venv/bin/python3.9 -m pip install transformers==4.33.2
+   ./venv/bin/python3.9 -m pip install numpy==1.24.4
+   `
+   if It doesn't works or too long on pip install -r requirements.txt
+   `
+   ./venv/bin/python3.9 -m pip install inaSpeechSegmenter
+   ./venv/bin/python3.9 -m pip install gradio==4.14.0 imutils==0.5.4 numpy opencv-python==4.8.0.76 scipy==1.11.2 requests==2.28.1  pillow==9.3.0  librosa==0.10.0 opencv-contrib-python==4.8.0.76 huggingface_hub==0.20.2 tqdm==4.66.1 cutlet==0.3.0 numba==0.57.1 imageio_ffmpeg==0.4.9 insightface==0.7.3 unidic==1.1.0 onnx==1.14.1 onnxruntime==1.16.0 psutil==5.9.5 lpips==0.1.4 GitPython==3.1.36 facexlib==0.3.0 gfpgan==1.3.8 gdown==4.7.1 pyannote.audio==3.1.1 TTS==0.21.2 openai-whisper==20231117 resampy==0.4.0 scenedetect==0.6.2 uvicorn==0.23.2 starlette==0.35.1 fastapi==0.109.0 fugashii
+   ./venv/bin/python3.9 -m pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2
+   ./venv/bin/python3.9 -m pip install transformers==4.33.2
+   ./venv/bin/python3.9 -m pip install numpy==1.24.4
+   `
+3. Install models
+   `
+   git clone https://huggingface.co/numz/wav2lip_studio models
+   `
+5. Launch UI
+   `
+   ./venv/bin/python3.9 wav2lip_studio.py
+   `
+
 ## Tutorial
 - [FR version](https://youtu.be/43Q8YASkcUA)
 - [EN Version](https://youtu.be/B84A5alpPDc)