Twitter AI Agent is a Python-based tool that leverages the Gemini AI model to create compelling Twitter posts based on user input. The application allows users to:

• Generate AI-crafted Twitter posts based on prompts
• Review and approve posts before publishing
• Provide feedback to refine posts that need improvement
• Publish approved content directly to Twitter

• AI-Powered Content: Uses Google's Gemini 2.0 Flash model to create engaging Twitter posts
• Interactive CLI: Beautiful command-line interface with rich text formatting
• Review Process: Preview generated posts before publishing
• Feedback Loop: Provide feedback to improve posts that don't meet expectations
• Direct Publishing: Post directly to Twitter through the Twitter API
• Character Limit Enforcement: Ensures posts adhere to Twitter's 280 character limit

• Python 3.x
• Twitter API credentials
• Google Gemini API key

Create a .env file in the project root with the following variables:

TWITTER_API_KEY=your_twitter_api_key
TWITTER_API_SECRET=your_twitter_api_secret
TWITTER_ACCESS_TOKEN=your_twitter_access_token
TWITTER_ACCESS_SECRET=your_twitter_access_secret
GEMINI_API_KEY=your_gemini_api_key

1. Clone the repository
2. Install dependencies:

   pip install -r requirements.txt
   

3. Set up environment variables as described above
4. Run the application:

   python main.py
   

1. Enter a prompt describing the Twitter post you want to create
2. Review the AI-generated post
3. Choose to publish or provide feedback for refinement
4. If feedback is provided, review the revised post
5. Publish when satisfied with the content

The application uses:

• LangGraph for workflow management
• Rich library for beautiful CLI formatting
• Python Twitter API for posting to Twitter
• Google's Gemini AI for content generation

MIT License