Twitter Bot with LLaMA AI

An intelligent Twitter bot that generates and posts engaging tweets about data engineering using the LLaMA language model.

Features

• 🤖 Automated tweet generation using LLaMA 2 model
• 🎯 Focused on data engineering topics
• 🔄 Variable outputs with temperature control
• ✍️ Multiple prompt templates for diversity
• ✅ Character limit compliance for Twitter
• 🔄 Automated posting capability

Prerequisites

• Python 3.8+
• LLaMA 2 model file (7B-chat quantized version)
• Twitter Developer Account with API credentials

Installation

1. Clone the repository:

   git clone https://github.com/YOUR_USERNAME/TwitterBot.git
   cd TwitterBot

2. Install required packages:

   pip install -r requirements.txt

3. Set up your environment variables in a .env file:

   CONSUMER_KEY=your_twitter_consumer_key
   CONSUMER_SECRET=your_twitter_consumer_secret
   ACCESS_TOKEN=your_twitter_access_token
   ACCESS_TOKEN_SECRET=your_twitter_access_token_secret

4. Download the LLaMA model:

   • Download the LLaMA 2 7B-chat quantized model
   • Place it in a models directory
   • Update the model path in twitter_bot.py

Project Structure

Usage

Run the bot:

python twitter_bot.py

Configuration

You can modify the following parameters in twitter_bot.py:

• temperature: Controls output randomness (0.0 to 1.0)
• max_new_tokens: Controls response length
• Prompt templates for tweet generation

Dependencies

• tweepy
• python-dotenv
• langchain
• ctransformers

Contributing

Feel free to open issues or submit pull requests for improvements.

License

MIT License

Disclaimer

Make sure to comply with Twitter's automation rules and rate limits when using this bot.

TwitterBot

This repo is for a Bot which will help with my X updates

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