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Using Gemini ​

Integrating Gemini into your program is simple using intelligent.

Acquiring an API key. ​

Integrating Google's Gemini AI Model ​

intelligent provides a simple interface for integrating Google's Gemini AI model into your program. This document outlines the steps to get started.

Prerequisites ​

  • Node.js (version 14 or higher)

  • A Google Cloud account with the Generative AI API enabled

  • A valid API key for the Generative AI API

  • intelligent installed. npm install intelligent@latest

Installation ​

To use the GeminiService class, you'll need to install the required dependencies. Run the following command in your terminal:

Bash

npm install intelligent@latest

Usage ​

Here's a step-by-step guide to using the GeminiService class:

1. Import the GeminiService class ​

ts
import { GeminiService } from 'intelligent';

2. Create an instance of the GeminiService class ​

Pass your API key and optionally, the model name to the constructor. If no model name is provided, it defaults to "gemini-1.5-flash".

ts
const geminiService = new GeminiService('API-KEY');

3. Call the response method ​

Pass a prompt to the response method to generate a response using the Gemini AI model.

ts
geminiService.response('Your prompt here').then((res) => {
  console.log(res);
});

Error Handling ​

If no API key is provided or if the API key is invalid, the response method will log an error message to the console.

Example Use Case ​

Here's an example of using the GeminiService class to generate a response to a user's query:

ts
import { GeminiService } from 'intelligent';

const geminiService = new GeminiService('YOUR_API_KEY', 'gemini-1.5-flash');

async function handleUserQuery(query) {
  try {
  await geminiService.response(query).then((res) => {
  console.log(res);
});
  } catch (error) {
    console.error(error);
  }
}

handleUserQuery('What is the meaning of life?');

By following these steps, you can easily integrate Google's Gemini AI model into your program using the GeminiService class.