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https://github.com/bniladridas/dragon-ai-assistant

A powerful AI chat interface powered by Google's Gemini 1.5 Flash model
https://github.com/bniladridas/dragon-ai-assistant

ai-knowledge-algorithms api-integration scalability-reliability software-engineering user-experience

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A powerful AI chat interface powered by Google's Gemini 1.5 Flash model

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README 

        
# 🐉 Dragon AI



![Preview 1](/img/Preview.png)






[![Play Demo](https://img.shields.io/badge/▶️_Play_Demo-000?style=for-the-badge)](https://dragon-ai-assistant.vercel.app)

[![Documentation](https://img.shields.io/badge/📚_Docs-000?style=for-the-badge)](https://dragon-ai.vercel.app/docs)

[![GitHub](https://img.shields.io/badge/👩‍💻_GitHub-000?style=for-the-badge)](https://github.com/bniladridas/dragon-ai)

[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fexamples%2Ftree%2Fmain%2Fpython%2Fflask3&demo-title=Flask%203%20%2B%20Vercel&demo-description=Use%20Flask%203%20on%20Vercel%20with%20Serverless%20Functions%20using%20the%20Python%20Runtime.&demo-url=https%3A%2F%2Fflask3-python-template.vercel.app%2F&demo-image=https://assets.vercel.com/image/upload/v1669994156/random/flask.png)



![Version](https://img.shields.io/badge/version-2.0.0-blue.svg)

![License](https://img.shields.io/badge/license-MIT-blue.svg)

![Python](https://img.shields.io/badge/python-3.8%2B-blue)

![Flask](https://img.shields.io/badge/flask-3.0%2B-green)

![Gemini](https://img.shields.io/badge/gemini-1.5--flash-orange)

![Vercel](https://img.shields.io/badge/vercel-latest-black)

[![Uptime](https://img.shields.io/badge/uptime-99.9%25-brightgreen.svg)](https://status.dragon-ai.vercel.app)





  A powerful AI chat interface powered by Google's Gemini 1.5 Flash model


  Built with Flask 3, Vercel, and modern web technologies 🚀




[Demo](https://dragon-ai-assistant.vercel.app/) • 

[Documentation](https://dragon-ai.vercel.app/docs) • 

[Quick Start](#quick-start) • 

[Deployment](#deployment) • 

[Contributing](#contributing)






## 🎮 Quick Start



Try Dragon AI instantly:

1. 🌐 Visit [https://dragon-ai-assistant.vercel.app/](https://dragon-ai-assistant.vercel.app/)

2. 🔒 No signup required

3. 💬 Start chatting with the AI



Or run locally:

```bash

# Clone repository

git clone https://github.com/bniladridas/dragon-ai-assistant.git

cd dragon-ai-assistant



# Install Vercel CLI

npm i -g vercel



# Install dependencies

pip install -r requirements.txt



# Run development server

vercel dev

```



Your Flask application will be available at `http://localhost:3000`.



## ✨ What's New in 2.0.0



### Major Updates

- 🎨 New Twitter/X-inspired dark theme UI

- 🚀 Vercel Edge Functions integration

- 🤖 Upgraded to Gemini 1.5 Flash

- 📱 Enhanced mobile responsiveness

- 🔄 Real-time chat synchronization

- 🎨 Custom SVG animations

- 🌐 Global CDN distribution

- ⚡ Flask 3.0 support



### Performance Improvements

- ⚡ 50% faster response times

- 📦 Reduced bundle size

- 🔧 Optimized API calls

- 🌍 Enhanced global latency



## ☁️ Dragon AI Cloud Infrastructure



```mermaid

flowchart TB

    subgraph Client

        B[Browser] --> V[Vercel Edge Network]

    end

    

    subgraph Cloud["Cloud Infrastructure"]

        V --> VF[Vercel Frontend]

        V --> PS[Python Serverless Function]

        PS --> G[Google Gemini API]

        

        subgraph Vercel["Vercel Platform"]

            VF --> |Static Assets| VC[Vercel CDN]

            PS --> |Environment Variables| VE[Vercel ENV]

        end

    end

    

    subgraph Storage

        B --> |Chat History| LS[Local Storage]

    end

    

    style B fill:#1D9BF0,color:#fff

    style V fill:#000000,color:#fff

    style VF fill:#0070F3,color:#fff

    style PS fill:#16181C,color:#fff

    style G fill:#4285F4,color:#fff

    style VC fill:#0070F3,color:#fff

    style VE fill:#0070F3,color:#fff

    style LS fill:#1DA1F2,color:#fff

```



## 🏗 How it Works



Dragon AI uses the Web Server Gateway Interface (WSGI) with Flask 3 to enable handling requests on Vercel with Serverless Functions. The architecture is designed as follows:



```mermaid

flowchart TB

    U[User Interface] --> |HTTP Request| F[Flask 3 Server]

    F --> |Prompt| G[Gemini 1.5 Flash API]

    G --> |Generated Response| F

    F --> |JSON Response| U

    

    subgraph Frontend

    U --> |Store| LC[Local Storage]

    LC --> |Load| U

    end

    

    subgraph Cloud Infrastructure

    F --> |Vercel Edge| V[Vercel Platform]

    V --> |CDN| C[Global CDN]

    end

```



## 🚀 Features



### Core Features

- 💬 Real-time AI chat interface

- 📝 Markdown & code syntax highlighting

- 💾 Local chat history

- 📱 Responsive design

- 🌙 Dark mode

- ⚡ Fast response times

- 🔒 Secure API handling



### Technical Features

- 🔄 WebSocket support

- 📦 Efficient bundling

- 🌐 Edge network distribution

- 🔧 Environment management

- 📊 Performance monitoring

- 🔍 SEO optimization

- 🚀 CI/CD pipeline



## 🚀 Deployment



### Vercel Configuration

```json

{

  "version": 2,

  "builds": [

    {

      "src": "app.py",

      "use": "@vercel/python"

    }

  ],

  "routes": [

    {

      "src": "/(.*)",

      "dest": "app.py"

    }

  ]

}

```



### One-Click Deploy

Deploy the example using [Vercel](https://vercel.com?utm_source=github&utm_medium=readme&utm_campaign=vercel-examples):



[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fexamples%2Ftree%2Fmain%2Fpython%2Fflask3&demo-title=Flask%203%20%2B%20Vercel&demo-description=Use%20Flask%203%20on%20Vercel%20with%20Serverless%20Functions%20using%20the%20Python%20Runtime.&demo-url=https%3A%2F%2Fflask3-python-template.vercel.app%2F&demo-image=https://assets.vercel.com/image/upload/v1669994156/random/flask.png)



### Performance Metrics

- TTFB: ~100ms

- FCP: ~300ms

- LCP: ~800ms

- TTI: ~1.2s



## 💻 Development



### Prerequisites

- Python 3.8+

- Flask

- Google Cloud API key

- Vercel account



### Environment Variables

```env

GOOGLE_API_KEY=your_api_key_here

VERCEL_ENV=development

DEBUG=True

```



## 📚 API Documentation



### Generate Response

```http

POST /generate

Content-Type: application/json



{

  "prompt": "string",

  "chatId": "number"

}

```



### Response Format

```json

{

  "response": "string",

  "metadata": {

    "model": "gemini-1.5-flash",

    "timestamp": "string",

    "processTime": "number"

  }

}

```



## 🔒 Security & Monitoring



### Security Features

- 🔐 API key encryption

- 🛡️ Rate limiting

- 🔍 Input validation

- 🚫 XSS protection

- 📝 Security logs



### Monitoring Features

- 📈 Real-time metrics

- 🔍 Error tracking

- 📊 Usage analytics

- ⚡ Performance monitoring

- 🌡️ Health checks



## 🤝 Contributing



1. Fork repository

2. Create feature branch

3. Commit changes

4. Push to branch

5. Create Pull Request



## 📜 Code of Conduct



[View our Code of Conduct](CODE_OF_CONDUCT.md)



## 📄 License



MIT License - [View License](LICENSE)



## 🙏 Acknowledgments



- Google AI Team

- Vercel Platform

- Open Source Community



## 📞 Support & Status



### Support Channels

- 📧 Email: [email protected]

- 💬 Discord: [Join](https://discord.gg/dragon-ai)

- 🐦 Twitter: [@DragonAI](https://twitter.com/DragonAI)



### Status & Updates

- Status Page: [status.dragon-ai.vercel.app](https://status.dragon-ai.vercel.app)

- Blog: [blog.dragon-ai.vercel.app](https://blog.dragon-ai.vercel.app)

- Updates: [@DragonAIStatus](https://twitter.com/DragonAIStatus)



---





  Made with ❤️ by Dragon Team | Powered by Vercel


  © 2024 Dragon AI. All rights reserved.