AI Youtube Voice Over and Script Generator

Generating Voice over audio for Youtube Videos based on Youtube Title

This project is a Streamlit application that leverages various AI models to generate YouTube scripts and voiceovers. It aims to assist content creators in producing high-quality YouTube videos with minimal effort.

Live link : https://ai-youtube-voice-over-generator.streamlit.app

• No Elven labs feautre in this Link

Audio Demo

• Title : what is phenomenon beyond northern lights --- Demo Samlpe Link

WorkFlow

Requirements

• Google Gemini Api Key
• Groq API
• ElevenLabs API

Installation

1. Clone the repository:

   git clone https://github.com/your-username/AI-YouTube-Voice-Over-Generator.git
   cd AI-YouTube-Voice-Over-Generator

2. Install the required Python packages:

   pip install -r requirements.txt

3. Run the Streamlit application:

   streamlit run app.py

Usage

API Keys

• Gemini Models: Enter your Gemini API key in the sidebar if you are using Gemini-based text generation models.
• Groq Models: Enter your Groq API key in the sidebar if you are using Groq-based text generation models.
• ElevenLabs TTS: Enter your ElevenLabs API key in the sidebar if you select the ElevenLabs text-to-speech model.

Generating Scripts

1. Enter Video Title: Input the title for your YouTube video.
2. Set Video Length: Specify the desired video length in minutes.
3. Generate Script: Click the "Generate Script" button.
4. Edit Script: Modify the generated script if needed.

Generating Voiceovers

1. Select TTS Model: Choose a TTS model in the sidebar.
2. Generate Audio: Click the "Generate Audio" button after the script is ready.
3. Download Audio: Listen to and download the generated audio.

Regenerating and Editing

• Regenerate Script: Click to create a new script if desired.
• Edit Script: Update the script and convert it to audio.

Contributing

Contributions are welcome! Please open an issue or submit a pull request if you have suggestions for improvements or new features.

Acknowledgments

• mrfakename for Hosting freely Hosting MELLO TTS model, without there contribution it woudn't be a possibilty to provide free TTS service to end users

Improvements

• Local Text Generation: Implement the use of local text generation models to enhance performance and reduce dependency on external APIs.
• Local TTS Models: Integrate local TTS models for better audio generation and faster processing times.
• Voice Cloning: Allow users to choose from a variety of voices for TTS, including options for voice cloning based on user preferences.