C-Gemini Chatbot: A C-Based Chat Application with Gemini Pro API Integration

A lightweight and efficient chatbot built in C, leveraging the power of the Gemini Pro API for natural language processing and conversational AI.

• Features
• Prerequisites
• Installation
• Configuration
• Usage
• API
• Contributing
• License
• Support

• Lightweight and Fast: Built in C for optimal performance.
• Gemini Pro API Integration: Leverages the Gemini Pro API for advanced conversational AI.
• Cross-Platform: Works on Linux, macOS, and Windows (with minor adjustments).
• Customizable: Easily modify the chatbot's behavior and responses.
• History Storage: Supports up to 40KB of conversation history.
• Simple Frontend: Includes a web interface for easy interaction.
• Runtime Settings: Configure model, temperature, top-p, top-k, max tokens, and system prompt via REST.
• Health & Maintenance: Health check and clear history endpoints.

To run this application, you'll need the following:

• C Compiler: GCC recommended.
• libcurl: For making HTTP requests to the Gemini Pro API.
• json-c: For parsing JSON responses from the API.
• Python 3: For running the frontend server (optional; you can also serve via the C server).

sudo apt-get update
sudo apt-get install gcc libcurl4-openssl-dev libjson-c-dev libmicrohttpd-dev python3

sudo yum update
sudo yum install gcc libcurl-devel json-c-devel libmicrohttpd-devel python3

1. Set your Gemini API key as an environment variable before running the server:

   export GEMINI_API_KEY="your_gemini_pro_api_key_here"

2. Optional runtime settings can be adjusted via the /config endpoint or the frontend Settings modal.

1. Navigate to the backend directory:

   cd backend

2. Build the application:

   make

3. Run the server:

   ./server

Open frontend/index.html directly or let the C server serve it at http://localhost:8080/.

• POST /chat
  • Body: { "message": "..." }
  • Response: { "response": "..." }
• GET /config
  • Returns current runtime settings: { model, temperature, top_p, top_k, max_output_tokens, system_prompt }
• POST /config
  • Body (any subset): { model, temperature, top_p, top_k, max_output_tokens, system_prompt }
  • Sets runtime settings.
• POST /clear
  • Clears chat history.
• GET /health
  • Returns { "status": "ok" }.

Contributions are welcome! Here's how you can help:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Submit a pull request with a detailed description of your changes.

Please ensure your code follows the existing style and includes appropriate documentation.

If you find this project useful, please consider giving it a ⭐️ on GitHub! For questions or feedback, open an issue or reach out to [your email or social media handle].

Visit the Gemini Pro website to sign up and obtain an API key.

Yes, but you may need to adjust the build process. Contributions for Windows support are welcome!

• Gemini Pro API for providing the conversational AI backend.
• libcurl and json-c for enabling HTTP requests and JSON parsing in C.
• libmicrohttpd for the embedded HTTP server.