Getting Started with the Angular Smart TextArea Component

Repository Description

A quick-start project that demonstrates how to create and configure the Syncfusion Angular Smart TextArea component with AI service integration capabilities, supporting both Azure OpenAI and Gemini models.

Overview

This repository provides a practical guide for implementing the Syncfusion Angular Smart TextArea component in Angular applications with AI-powered features.

Features

• AI-Powered Text Completion: Intelligent text suggestions and completion
• Azure OpenAI Integration: Configure Azure OpenAI service for AI functionality
• Gemini Model Support: Support for Google's Gemini model with Vercel AI SDK
• Multi-Model Support: Flexible configuration for different AI models

Project Prerequisites

Ensure you have the following tools installed:

• Visual Studio Code
• NodeJS
• Angular CLI
• AI Model API Key (Azure OpenAI or Google Gemini)

Configuring AI Services

This project uses Azure OpenAI or Google's Gemini model. Navigate to ./src/app/ai-model.ts and replace placeholders with your credentials:

const azure = createAzure({
    resourceName: 'YOUR_RESOURCE_NAME',
    apiKey: 'YOUR_API_KEY',
});
const aiModel = azure('YOUR_MODEL_NAME');

Azure endpoint format: https://{resource_name}.openai.azure.com/

For more details, see the Vercel AI SDK documentation.

Installation and Setup

1. Clone the repository: git clone <repository-url>
2. Navigate to project directory
3. Install packages using npm install

How to Run This Application

To run this application:

1. Clone the repository: git clone <repository-url>
2. Configure credentials in ./src/app/ai-model.ts
3. Run npm install then ng serve

Documentation and Resources

For comprehensive information about the Angular Smart TextArea component:

• Documentation: https://ej2.syncfusion.com/angular/documentation/smart-textarea/getting-started
• Live Demo: https://ej2.syncfusion.com/angular/demos/#/fluent2/ai-smart-textarea/default