A fully autonomous AI Agent/Python pipeline that utilizes Large Language Models (LLMs) like Gemini to generate content, produce videos, and automatically upload educational videos to YouTube.

Gemini YouTube Automation

The project includes a GitHub Actions workflow that runs daily at 7:00 AM UTC. It:

• Generates lesson scripts using Gemini.
• Produces long-form and short YouTube videos.
• Uploads them automatically with appropriate thumbnails and metadata.

Project Structure

gemini-youtube-automation/
├── .github/
│   └── workflows/
│       └── main.yml         # GitHub Actions workflow configuration
├── src/                     # Source directory for Python modules
│   ├── init.py          # Initializes the 'src' package
│   ├── generator.py         # Code for generating content and video
│   └── uploader.py          # Code for uploading to YouTube
├── .gitignore               # Files and directories to ignore in version control
├── content_plan.json        # Contains topics for moving forward.
├── main.py                  # Main entry point to run the application
└── requirements.txt         # List of Python packages needed

Setup Instructions

1. Clone the repository: git clone https://github.com/ChaituRajSagar/gemini-youtube-automation.git cd gemini-youtube-automation

2. Install dependencies: Make sure you have Python installed, then run: pip install -r requirements.txt

3. Configure YouTube API: Follow the YouTube API documentation to set up your API credentials and update the necessary configurations in uploader.py.

Usage

To run the application, execute the following command: python main.py

This will initiate the content generation and upload process.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or features.

📊 Daily Production Infographic

Here's a visual summary of the bot's daily performance and workflow:

License

This project is licensed under the MIT License. See the LICENSE file for details.