Generative AI with Gemini

This repository provides a starting point for full-stack developers to explore Google's Generative AI model, Gemini.

Getting Started

This guide walks you through setting up and using Gemini for content generation.

Prerequisites:

• Node.js and npm (or yarn) installed
• A Google Cloud Platform (GCP) project with the Gemini API enabled
• An API key obtained from your GCP project

Installation:

1. Create a new project directory:

mkdir my-generative-ai-project
cd my-generative-ai-project

2. Initialize a Node.js project:

npm init -y

3. Install the @google/generative-ai package:

npm install @google/generative-ai

Setting Up the API Key

1. Replace YOUR_API_KEY with your actual API key in the genai.js file:

const { GoogleGenerativeAI } = require("@google/generative-ai");

const API_KEY = "YOUR_API_KEY";
const genAI = new GoogleGenerativeAI(API_KEY);

// ... rest of your code

Important: Do not share your API key publicly.

Running the Code

1. Create a file named genai.js with the following code:

const { GoogleGenerativeAI } = require("@google/generative-ai");

const API_KEY = "YOUR_API_KEY";
const genAI = new GoogleGenerativeAI(API_KEY);

async function generateContent() {
  const model = genAI.getGenerativeModel({ model: "gemini-1.5-pro"});

  const result = await model.generateContent(
    "Who has developed first super computer in india?"
  );

  console.log(result.response.text());
}

generateContent();

2. Run the code using Node.js:

node genai.js

This will generate content based on the prompt and print the response to the console.

Documentation

• Official Google Generative AI Documentation: https://ai.google/discover/generativeai/
• Vertex AI Studio for Tutorials and Examples: https://cloud.google.com/generative-ai-studio

Next Steps

• Experiment with different prompts and models to explore Gemini's capabilities.
• Learn advanced prompt formatting for specific content generation tasks.
• Integrate Gemini with your full-stack development projects for innovative applications.

This is a basic guide to get you started. Remember to explore the official documentation and tutorials for in-depth learning and advanced implementations.