LinkedIn AI/ML Q&A Bot

A professional-grade Python utility that generates expert-level AI/ML responses for LinkedIn using Claude 3.5 Sonnet. This tool helps AI professionals create well-structured, concise responses to technical questions while maintaining a professional tone suitable for LinkedIn.

Features

• Processes questions and descriptions in a structured format
• Generates responses optimized for LinkedIn's AI/ML audience
• Enforces character limits for optimal LinkedIn post length
• Supports both file-based and interactive input modes
• Comprehensive error handling and logging
• Modular and maintainable code structure

Prerequisites

• Python 3.8 or higher
• Anthropic API key for Claude 3.5 Sonnet

Installation

1. Clone the repository:

git clone <repository-url>
cd linkedin-qa-bot

2. Install required packages:

pip install anthropic

3. Set up your Anthropic API key:

export ANTHROPIC_API_KEY='your-api-key-here'

Usage

Basic Usage

python linkedin_qa_bot.py

This will process the default input file question&answerformat.md in the current directory.

Custom Input File

python linkedin_qa_bot.py -i path/to/your/input.md

Interactive Mode

python linkedin_qa_bot.py --interactive

Input Format

Your input file should follow this format:

<question>
Your AI/ML related question here
<description>
Detailed context and description of your question here
</description>
</question>

Command Line Options

• -i, --input: Specify input file path (default: question&answerformat.md)
• --interactive: Use interactive mode for manual input
• -h, --help: Show help message and exit

Error Handling

The script includes comprehensive error handling for:

• Missing API keys
• Invalid input format
• File read/write errors
• API communication issues
• Character limit violations

Logging

Logs are written to stdout with timestamp and log level. Important events and errors are automatically logged for debugging purposes.

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

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

Acknowledgments

• Anthropic for providing the Claude 3.5 Sonnet API
• The AI/ML community on LinkedIn for inspiration