How to Access and Use Google Gemini API Key (original) (raw)

Last Updated : 15 Apr, 2026

In today's world artificial intelligence (AI) is changing the way technology is used. The Google Gemini API is a widely used tool that can help create smart applications like chatbots, content generators and many more.

How to Get Your Google Gemini API Key

Step 1: Open Google AI Studio

Visit Google AI Studio in your browser.
Log in using your Google Account credentials.

google_ai_studio

Visit the home page

Step 2: Click on "Get API Key"

On the top-right corner, click on “Get API Key”.

google_ai_studio

Step 3: Click on "Create API Key"

After clicking "Get API Key" you'll see a button "Create API Key".
Click on "Create API Key" to proceed.

create_api_key

Create API Key

Step 4: Select Google Cloud Project

Select an existing Google Cloud project or create a new one when prompted.

Choose a Project

Step 5: Generate and Copy API Key

Once you select or create the project, your Gemini API Key will be generated.
Copy the API key and store it securely for your usage.

Copy the API

Chatbot using Gemini API key

Let's build a simple chatbot using the Gemini API key integration,

Step 1: Install the Gemini Python SDK

We need to install the official Google Generative AI SDK which is needed to interact with Gemini Models.

Python `

!pip install google-generativeai

Step 2: Set up the API Key and Initialize Gemini

Here we need to mention our API Key.

Import the SDK.
Store our API key as a string.
Use genai.configure to authenticate our requests with Gemini. Without this, API calls will fail. Python `

import google.generativeai as genai

API_KEY = 'your_api_key_here' genai.configure(api_key=API_KEY)

Step 3: Create the Model Instance

This sets up an instance of the Gemini model by specifying its name.
'gemini-1.5-flash' is a fast, general-purpose language model suitable for chatbot tasks. Python `

model = genai.GenerativeModel('gemini-1.5-flash')

Step 4: Build the Chatbot

We build a basic chatbot using the gemini API,

The chat_with_bot function sends our prompt to the Gemini model and returns a response for easier.
The loop continues to prompt the user for input, sends input to the bot and prints the reply, until 'exit' is typed. Python `

def chat_with_bot(prompt): response = model.generate_content(prompt) return response.text.strip()

print("Welcome to Gemini Chatbot! Type 'exit' to quit.\n") while True: user = input("You: ") if user.strip().lower() == 'exit': print("Chatbot: Goodbye!") break bot = chat_with_bot(user) print("Chatbot:", bot)

**Output:

output

Output Generated by ChatBot