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# Kokoro-TTS
**Note:** This is not the official repository. Alternatives [kokoro-onnx](https://github.com/thewh1teagle/kokoro-onnx), [Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI), [kokoro](https://github.com/hexgrad/kokoro), [kokoro-web](https://huggingface.co./spaces/webml-community/kokoro-web), [Kokoro-Custom-Voice](https://huggingface.co./spaces/ysharma/Make_Custom_Voices_With_KokoroTTS)
[](https://colab.research.google.com/github/NeuralFalconYT/Kokoro-82M-WebUI/blob/main/Kokoro_82M_Colab.ipynb) <br>
[](https://huggingface.co./spaces/hexgrad/Kokoro-TTS)
---
### Installation Tutorial
My Python Version is 3.10.9.
#### 1. Clone the GitHub Repository:
```bash
git clone https://github.com/NeuralFalconYT/Kokoro-82M-WebUI.git
cd Kokoro-82M-WebUI
```
#### 2. Create a Python Virtual Environment:
```bash
python -m venv myenv
```
This command creates a new Python virtual environment named `myenv` for isolating dependencies.
#### 3. Activate the Virtual Environment:
- **For Windows:**
```bash
myenv\Scripts\activate
```
- **For Linux:**
```bash
source myenv/bin/activate
```
This activates the virtual environment, enabling you to install and run dependencies in an isolated environment.
Here’s the corrected version of point 4, with proper indentation for the subpoints:
#### 4. Install PyTorch:
- **For GPU (CUDA-enabled installation):**
- Check CUDA Version (for GPU setup):
```bash
nvcc --version
```
Find your CUDA version example ```11.8```
- Visit [PyTorch Get Started](https://pytorch.org/get-started/locally/) and install the version compatible with your CUDA setup.:<br>
- For CUDA 11.8:
```
pip install torch --index-url https://download.pytorch.org/whl/cu118
```
- For CUDA 12.1:
```
pip install torch --index-url https://download.pytorch.org/whl/cu121
```
- For CUDA 12.4:
```
pip install torch --index-url https://download.pytorch.org/whl/cu124
```
- **For CPU (if not using GPU):**
```bash
pip install torch
```
This installs the CPU-only version of PyTorch.
#### 5. Install Required Dependencies:
```bash
pip install -r requirements.txt
```
This installs all the required Python libraries listed in the `requirements.txt` file.
#### 6. Download Model and Get Latest VoicePack:
```bash
python download_model.py
```
---
#### 7. Install eSpeak NG
- **For Windows:**
1. Download the latest eSpeak NG release from the [eSpeak NG GitHub Releases](https://github.com/espeak-ng/espeak-ng/releases/tag/1.51).
2. Locate and download the file named **`espeak-ng-X64.msi`**.
3. Run the installer and follow the installation steps. Ensure that you install eSpeak NG in the default directory:
```
C:\Program Files\eSpeak NG
```
> **Note:** This default path is required for the application to locate eSpeak NG properly.
- **For Linux:**
1. Open your terminal.
2. Install eSpeak NG using the following command:
```bash
sudo apt-get -qq -y install espeak-ng > /dev/null 2>&1
```
> **Note:** This command suppresses unnecessary output for a cleaner installation process.
---
#### 8. Run Gradio App
To run the Gradio app, follow these steps:
1. **Activate the Virtual Environment:**
```bash
myenv\Scripts\activate
```
2. **Run the Application:**
```bash
python app.py
```
Alternatively, on Windows, double-click on `run_app.bat` to start the application.
---
### Credits
[Kokoro HuggingFace](https://huggingface.co./hexgrad/Kokoro-82M)
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