Being-Creative-with-AI/C3/Creating-and-using-Gemini-API-Key/English

Visual Cue	Narration
Title Slide	Welcome to this Spoken Tutorial on Creating and using a Gemini API key
Learning Objectives Slide	In this tutorial, we will learn to - Use Google AI Studio Create a Gemini API key Store the key securely Use the key in a simple Python example
Disclaimer Content Slide	As Al tools constantly evolve, if you are unable to locate any icon or encounter difficulty at any step, you may use any conversational Al Chatbot for guidance.
System Requirement Slide	To record this tutorial, I am using: A laptop with internet connection A web browser such as Chrome A Google account Google Colab for running Python code
Pre-requisite Slide	Basic computer knowledge is enough to follow this tutorial. No programming experience is required.
Pre-requisite For the Pre-requisites of this tutorial, visit the website shown on your screen http://EduPyramids.org	For the Pre-requisites of this tutorial, visit the website shown on your screen.
Code Files The following code file is required to practice this tutorial Gemini-API-key.txt This file is provided in the code files link of this tutorial page. Please download and extract the file	The following code file is required to practice this tutorial. This file is provided in the Code Files link of this tutorial page. Please download and extract the file.
Show slide: Why Gemini API?	The Gemini API helps us use Google’s AI models in applications. We will use Google AI Studio to create an API key.
Show browser address bar	Open any web browser and log into your Google account. Now in the address bar type, aistudio dot google dot com.
First-time login screen	Accept the terms and click Continue if prompted.
Highlight “Get API key”	Click on Get API key in the bottom left corner.
Highlight “Create API key”	On the top right, click on Create API key.
Rename field	A pop window named Create a new key opens. In the Name your key field, I will type Sample API Note that a default name is already provided in this field.
Project selection	Next field is Choose an imported project. Click on the dropdown and select plus Create project.
Project field	Another pop up window named Create a new project opens. In Name your project field, I will again type Sample API Click on Create project.
Click Create Key	Again a pop up window opens. Create Key.
Show generated key Click Copy key	Now the API key is generated. In the pop up window you can see the details. Click on the Copy key tab towards the bottom right corner. Doing so will copy the API key safely. Close the pop up window by clicking on the cross mark.
Show the copy icon	You can also copy the API key by clicking on the copy icon here.
Open Google Colab	In a new browser tab, type colab dot research dot google dot com
Click + New Notebook	Click on plus New notebook button on the left corner.
Click Key icon Add new secret	Click on the Key icon on the left panel. Here, click on plus Add new secret.
Enter Name and Value	I’m entering the Name as Spoken. Paste the API key in the Value field. Click and drag the Notebook Access option to use the key. The key is now stored securely.
Point to the key	Do not share your API key publicly. Others can misuse your data. Let us close this Secrets window now.
Show slide: Using the API key	Next, let us use this API key to create an AI application.
Show code !pip install -q -U google-generativeai	First, let us install the library. In a new code cell type: exclamation pip space install space hyphen q space hyphen capital U space google hyphen generative ai Press shift and enter keys to run it.
Highlight import statements import google.generativeai as genai from google.colab import userdata	Now we need to import the required modules. Now pause the video and type this command in a new code cell. This command should be in 2 lines as shown here. Always, Make sure the cursor is on the same line at the end of the command. Press shift and enter.
Show code GOOGLE_API_KEY = userdata.get('Spoken') genai.configure(api_key=GOOGLE_API_KEY)	Next we need to retrieve the API key from secrets using this code. Now pause the video and type this command in a new code cell. This command should be in 2 lines as shown here. Remember Spoken is the name given for the api key stored in the secret manager Press shift and enter.
Create model model = genai.GenerativeModel('gemini-2.5-flash')	Now we will create a Gemini model with this code. Type model equal to genai dot GenerativeModel open parenthesis single quote gemini-2.5-flash close single quote parenthesis Press shift and enter.
Generate content response = model.generate_content("Write a slogan for a smart coffee mug")	Let us now generate content using the model with this code. Now pause the video and type this command in a new code cell. Press shift and enter.
print(response.text)	We will now print the response with this print open parenthesis response dot text close parenthesis Press shift and enter. The model generates creative slogans.
Summary Slide	Let us summarise. We learnt the following. Created a Gemini API key Stored it securely in Colab Used it in a Python example
Assignment Slide Create your own API key Open Google Colab and store the key Create a Gemini model as mentioned in the tutorial Modify the prompt to create 5-questions for a science quiz. Run the code and observe the output.	Here is an assignment for you.
Acknowledgement slide	Thank you for joining.
This Spoken Tutorial is brought to you by EduPyramids Educational Services Private Limited, SINE, IIT Bombay

Contributors and Content Editors

Madhulika, Misbah