Update README.md

README.md

@@ -1,127 +1,7 @@
-# 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)
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/NeuralFalconYT/Kokoro-82M-WebUI/blob/main/Kokoro_82M_Colab.ipynb) <br>
-[![HuggingFace Space Demo](https://img.shields.io/badge/🤗-Space%20demo-yellow)](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.
-
----
-
-![app](https://github.com/user-attachments/assets/ef3e7c0f-8e72-471d-9639-5327b4f06b29)
-![Podcast](https://github.com/user-attachments/assets/03ddd9ee-5b41-4acb-b0c3-53ef5b1a7fbf)
-![voices](https://github.com/user-attachments/assets/d47f803c-b3fb-489b-bc7b-f08020401ce5)
-
-### Credits
-[Kokoro HuggingFace](https://huggingface.co/hexgrad/Kokoro-82M)
-
+license: mit
+title: Kokoro TTS
+sdk: gradio
+emoji: ⚡
+short_description: Kokoro TTS WebUI
+---