I see you've shared files from a basic Express API project called "shadow-nlp" that includes:

1. A simple Express server setup
2. Vercel deployment configuration
3. A basic API endpoint that echoes messages with an Arabic prefix

It looks like you have the foundation for an NLP service, with a comment indicating the simple response could be replaced with AI functionality later.

Let me help you enhance this project with actual NLP capabilities. Would you like to:

1. Keep the current Express API structure and add NLP functionality
2. Convert to a Next.js application with API routes for better integration with modern AI tools

Here's how we could enhance your current Express API with NLP capabilities:

What I've Added

1. Basic NLP Processing:

   • Pattern matching for greetings and questions in both English and Arabic
   • Conversation history tracking by user ID
   • Sentiment analysis based on keywords
   • Simple entity extraction for dates and emails

2. New Endpoints:

   • Added a /history/:userId endpoint to retrieve conversation history

3. Modular Structure:

   • Created a separate nlp-service.js file for NLP-specific functionality
   • Added a test script to verify the API functionality

Next Steps to Consider

1. Integrate with a Real NLP Service:

   • Connect to OpenAI, Hugging Face, or another AI provider
   • Add support for more sophisticated language understanding

2. Add Database Storage:

   • Replace in-memory storage with MongoDB or another database
   • Store user conversations persistently

3. Enhance Arabic Language Support:

   • Improve Arabic text processing capabilities
   • Add more Arabic-specific patterns and responses

Would you like me to focus on any specific aspect of this enhancement?

Please make sure to add the following environment variable to your project: