🔗 LinkAutoPostAI

A Python automation project that generates LinkedIn post content with Google GenAI via LangChain and publishes it using the LinkedIn API.

🚀 Features

• AI-generated LinkedIn post content
• Automated publishing to LinkedIn
• Environment-variable based configuration
• Pre-configured for best practices (linting, formatting, CI)
• Example documentation and contribution guidelines

🛠️ Quick Start

1. Clone the repository:

   git clone https://github.com/gvatsal60/LinkAutoPostAI.git
   cd LinkAutoPostAI

2. Set up your environment:

   uv sync

3. Create your environment file:

   cp src/.env.dev src/.env

4. Update src/.env with required values:

   MODEL_API_KEY=your_model_api_key
   MODEL_NAME=gemini-2.5-flash
   LINKEDIN_ACCESS_TOKEN=your_linkedin_access_token

5. Run the app:

   make run

📦 Project Structure

LinkAutoPostAI/
├── src/                  # Application source code
│   ├── app.py            # Main entrypoint
│   ├── linkedin.py       # LinkedIn API integration
│   ├── config.py         # Environment variable loading
│   └── .env.dev          # Environment variable template
├── snippets/             # Sample snippets/assets
├── README.md
├── Makefile
├── pyproject.toml
├── LICENSE
└── ...

🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

🛡️ License

This project is licensed under the Apache 2.0 License. See LICENSE for details.