https://github.com/rahul07bagul/voiceover-generation
Text-to-Speech Voiceover Generator
https://github.com/rahul07bagul/voiceover-generation
kokoro llm model react text-classification voiceover
Last synced: 8 months ago
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Text-to-Speech Voiceover Generator
- Host: GitHub
- URL: https://github.com/rahul07bagul/voiceover-generation
- Owner: rahul07bagul
- License: mit
- Created: 2025-02-07T20:23:05.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-07T21:02:25.000Z (8 months ago)
- Last Synced: 2025-02-07T22:19:33.143Z (8 months ago)
- Topics: kokoro, llm, model, react, text-classification, voiceover
- Language: JavaScript
- Homepage:
- Size: 18.6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Text-to-Speech Voiceover Generator
This project utilizes the Kokoro Voice Model to generate high-quality AI voiceovers. Users can input text, select from multiple voice options, and generate realistic audio.
## Tech Stack:
- Frontend: React (with Framer Motion for animations)
- Backend: Flask (handles text-to-speech processing)
- Audio Processing: Combines multiple short audio clips into a seamless voiceover
- https://huggingface.co/hexgrad/Kokoro-82M
## Installation
### Prerequisites
Ensure you have Python 3.8+ and Node.js installed on your system.
### Backend Setup (Flask Server)
### Step 1: Clone the Repository
```sh
git clone https://github.com/rahul07bagul/Voiceover-Generation.git
cd voiceover-generation/server
```
### Step 2: Create a virtual environment
```sh
python -m venv venv
source venv/bin/activate # On macOS/Linux
venv\\Scripts\\activate # On Windows
```
### Step 3: Install dependencies
```sh
pip install -r requirements.txt
```
### Step 4: Run the Flask server
```sh
python server.py
```
### Frontend Setup (React Client)
### Step 1: Navigate to the frontend directory
```sh
cd client/frontend
```
### Step 2: Install dependencies
```sh
npm install
```
### Step 3: Start the development server
```sh
npm start
```