This project provides an end-to-end solution for generating talking-face videos from a simple topic, targeting content creators and developers looking to automate video production. It leverages AI for scriptwriting, voice generation, and facial animation, enabling the creation of personalized videos with minimal manual input.

How It Works

The system integrates multiple AI models: OpenAI's language models generate video scripts based on a given topic, Google Text-to-Speech (gTTS) converts the script into audio, and SadTalker handles the facial animation by creating a talking avatar from a provided image and the generated audio. This modular approach allows for flexibility and leverages specialized models for each task.

Quick Start & Requirements

• Install by cloning the repository and running the FacelessColab.ipynb Jupyter notebook.
• Requires Python 3.x, Jupyter Notebook, and an OpenAI API key.
• Official tutorials are available on YouTube and Medium. An API for integration is also provided.

Highlighted Details

• End-to-end AI video generation from a topic.
• Integrates OpenAI for scripts, gTTS for voice, and SadTalker for face animation.
• User-friendly Jupyter notebook interface for easy operation.

Maintenance & Community

• Contributions are welcomed via issues and pull requests.
• Contact is managed through GitHub issues.

Licensing & Compatibility

• Licensed under the MIT License, permitting commercial use and integration into closed-source applications.

Limitations & Caveats

The project relies on external API keys (OpenAI) which may incur costs. The quality of the output is dependent on the underlying AI models and the quality of the input avatar image.