ask-gemini

A simple npm package to easily interact with Google's Generative AI (Gemini) in a Node.js project.

Table of Contents

• Installation
• Usage
  • Using Images
  • Using Multi-Turn Conversations
• Documentation
• License

Installation

To install the package, use npm:

npm install ask-gemini

Usage

First, you need to import the package and set your API key. Then you can use the askGemini function to get responses from the AI. Visit Google AI Studio to get your API key.

import { setGeminiApiKey, askGemini } from 'ask-gemini';

// Set your API key
setGeminiApiKey('YOUR_GOOGLE_API_KEY');

// Ask Gemini AI something
askGemini('Generate a paragraph about the history of the United States.')
  .then(response => {
    console.log(response);
  })
  .catch(err => {
    console.error(err);
  });

Using Images

Below is an example if you wanted to add images/video/audio to your prompt:

import { setGeminiApiKey, askGemini } from 'ask-gemini';

setGeminiApiKey('YOUR_GOOGLE_API_KEY');

// Ask Gemini AI with prompt and video/audio
askGemini("Can you summarize what is in this audio and what is in this picture?", [
  { path: 'video.mp3', type: 'audio/mp3' },
  { path: 'image.jpg', type: 'image/jpg' },
])
  .then(response => console.log(response))
  .catch(error => console.error(error));

Using Multi-Turn conversations

The askGeminiWithHistory function prompts the Gemini AI model with a message and a history of previous interactions, enabling multi-turn conversations.

import { setGeminiApiKey, askGeminiWithHistory } from 'ask-gemini';

// Set the API key
setGeminiApiKey('YOUR_GOOGLE_API_KEY');

// Define the conversation history
const history = [
  {
    role: 'user',
    parts: [{ text: 'Hello, I have 2 dogs in my house.' }],
  },
  {
    role: 'model',
    parts: [{ text: 'Great to meet you. What would you like to know?' }],
  },
];

// Send a follow-up message and get the response
askGeminiWithHistory('How many paws are in my house?', history)
  .then(response => console.log(response))
  .catch(error => console.error(error));

Documentation

setGeminiApiKey(apiKey)

Sets the API key for the Google Generative AI service.

• Parameters:
  • apiKey (string required): Your Google Generative AI API key.

---

setGeminiApiKeyFromEnv()

Sets the API key for the Google Generative AI service from process.env.GEMINI_API_KEY variable.

---

askGemini(prompt, imageArray)

Sends a prompt to the AI and returns the response.

• Parameters:

  • prompt (string required): The text prompt to send to the AI.
  • imageArray (Array optional): An array of objects with image file path and type.

• Returns:

  • A promise that resolves to the AI's response.

---

askGeminiWithHistory(prompt, historyArray)

Sends a prompt to the AI and returns the response.

• Parameters:

  • prompt (string, required): This is the new message you want to send to the AI. It should be a string containing your question or statement.
  • history (Array, optional): An array of previous messages in the conversation. Each entry in the array should be an object with a role and parts array. The role indicates whether the message was sent by the "user" or the "model", and parts is an array where each element has a text property containing the message text.

• Returns:

  • A promise that resolves to the AI's response.

---

setGeminiModel(modelStringParam)

This function allows the user to set the default model type for Gemini. By calling this function and passing a modelStringParam, the user can specify which model type should be set as the default for Gemini.

• Parameters:
  • modelStringParam (string, required): A string parameter representing the model type that the user wants to set as the default for Gemini.

License

This package is licensed under the ISC License. See the LICENSE file for details.