npm package: @subhajit-gorai/react-native-mediapipe-llm
Description: React Native binding for Google AI Edge Gallery's MediaPipe on-device LLM inference engine
Author: Subhajit Gorai
Latest version: 1.0.3
Deprecated: Package no longer supported. Contact Support at https://www.npmjs.com/support for more info.

# React Native MediaPipe LLM Demo

This is a demonstration app showcasing the integration of Google's Gemma 3N model with React Native using the MediaPipe LLM framework.

## Features

- 📱 Cross-platform chat interface (iOS/Android)
- 🤖 Gemma 3N integration with streaming responses
- 📂 File picker for model selection
- 💬 Real-time chat with AI assistant
- 🎨 Modern, responsive UI design

## Getting Started

### Prerequisites

1. **Download the Gemma 3N Model**
   - Visit: [https://huggingface.co/google/gemma-3n-E2B-it-litert-preview](https://huggingface.co/google/gemma-3n-E2B-it-litert-preview)
   - Download: `gemma-3n-E2B-it-int4.task` file
   - Save it to your device (Documents, Downloads, etc.)

2. **Development Environment**
   - Node.js 16+ 
   - React Native development environment
   - iOS Simulator or Android Emulator
   - Expo CLI (if using Expo Go)

### Installation

1. **Install dependencies**
   ```bash
   npm install
   ```

2. **iOS Setup** (if running on iOS)
   ```bash
   cd ios && pod install && cd ..
   ```

### Running the Demo

#### Using Expo Go
```bash
npm start
```
Then scan the QR code with Expo Go app.

#### iOS Simulator
```bash
npm run ios
```

#### Android Emulator
```bash
npm run android
```

## How to Use

1. **Launch the App**
   - The app will start with the Welcome screen

2. **Select Model File**
   - Tap "Select Model File"
   - Navigate to where you saved the `gemma-3n-E2B-it-int4.task` file
   - Select the file

3. **Initialize Model**
   - Tap "Initialize Model"
   - Wait for initialization to complete (may take a few moments)

4. **Start Chatting**
   - Tap "Start Chatting →" 
   - Begin conversing with Gemma 3N!

## App Structure

```
src/
├── hooks/
│   └── useLlmInference.ts    # LLM integration hook
├── screens/
│   ├── WelcomeScreen.tsx     # Model setup and initialization
│   └── ChatScreen.tsx        # Chat interface
├── types/
│   └── index.ts              # TypeScript definitions
└── components/               # Reusable UI components
```

## Key Components

### WelcomeScreen
- Model file selection via document picker
- Model initialization with configuration
- Status tracking and user guidance

### ChatScreen  
- Real-time chat interface
- Streaming response display
- Message history management
- Keyboard handling

### useLlmInference Hook
- Wraps MediaPipe LLM functionality
- Handles model initialization
- Manages response generation
- Provides loading states

## Configuration

The demo uses these default LLM parameters:
- **Max Tokens**: 512
- **Temperature**: 0.8
- **Top-K**: 40
- **Top-P**: 0.9

These can be modified in `WelcomeScreen.tsx`.

## Troubleshooting

### Model Not Loading
- Ensure you downloaded the correct `.task` file
- Check file permissions
- Verify sufficient device storage

### App Crashes
- Restart the development server
- Clear React Native cache: `npx react-native start --reset-cache`
- Reinstall dependencies

### Performance Issues
- Close other apps to free memory
- Use a physical device for better performance
- Ensure the model file isn't corrupted

## Technical Notes

- **Model Size**: The Gemma 3N model is approximately 2GB
- **Memory Usage**: Requires ~4GB RAM for optimal performance  
- **Inference Speed**: Varies by device hardware capabilities
- **Storage**: Ensure 3GB+ free space for model and cache

## Next Steps

This demo provides a foundation for:
- Production chat applications
- Custom model integrations
- Advanced LLM features
- Performance optimizations

## Support

For issues specific to this demo, please check the main project README or create an issue in the repository.

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**Note**: This is a demonstration app. For production use, implement proper error handling, security measures, and performance optimizations.