How To Build Your Own AI With ChatGPT API

Summary

This video tutorial by Kyle from Web Dev Simplified introduces viewers to integrating Chat GPT into their applications via OpenAI's API. It guides through creating an account, obtaining an API key, setting up a .env file, and installing necessary dependencies. The script demonstrates a simple Node.js terminal application that interacts with Chat GPT, showcasing how to send messages and receive responses. The video also highlights the ease of use and potential of incorporating AI into custom projects.

Takeaways

• 🚀 OpenAI has expanded their API to include Chat GPT, allowing developers to integrate AI chat capabilities into their applications.
• 🔑 To get started, developers need to create an account on platform.openai.com and generate an API key for authentication.
• 💰 Chat GPT is a paid API, but it's cost-effective with pricing based on usage, and there's a free trial available for initial testing.
• 📝 The script demonstrates creating a .env file to securely store the API key and using the 'dotenv' package to load it into the application.
• 🛠️ Dependencies such as 'dotenv' and 'openai' are installed via npm to facilitate the API interaction within the application.
• 🔍 The 'openai' package is used to configure the API connection and interact with the Chat GPT model.
• 🗣️ The script includes creating a chat completion by sending messages with roles (e.g., 'user', 'assistant') and receiving responses.
• 🔁 The application uses a readline interface to continuously prompt the user for input and interact with Chat GPT in a loop.
• 📊 The response from Chat GPT includes a 'choices' array that contains the AI's messages and other relevant information.
• 🔎 The script shows how to parse the Chat GPT response to display the AI's message content to the user.
• 🔄 The video concludes with a demonstration of the interactive chat application, highlighting the quick response times and ease of integration.

Q & A

What is the main topic of the video?

The video is about integrating Chat GPT into one's own applications using the OpenAI API.

What does OpenAI offer with their API expansion?

OpenAI offers the ability to call their API and get responses directly from Chat GPT, allowing developers to integrate AI into their applications.

How can one get started with Chat GPT using the OpenAI API?

To get started, one needs to visit platform.openai.com, create an account, and then manage the account to get an API key.

What is the cost associated with using the Chat GPT API?

Chat GPT API is a paid service, but it is relatively cheap, costing fractions of a penny per usage.

What is the importance of the API key in this context?

The API key is crucial as it is used to authenticate and authorize requests to the OpenAI API within one's application.

What is the recommended first step in setting up the application to use Chat GPT?

The first step is to create a .env file to store the API key securely and then install necessary dependencies like 'dotenv' and 'openai'.

What are the two main dependencies needed for the application to interact with the OpenAI API?

The two main dependencies are 'dotenv' for managing environment variables and 'openai' for interacting with the OpenAI API.

How does the video demonstrate the interaction with the Chat GPT API?

The video demonstrates by creating a simple Node.js terminal application that sends messages to Chat GPT and logs the responses.

What is the role of the 'readline' library in the application?

The 'readline' library is used to create a user interface for inputting information and interacting with the Chat GPT API.

How can the user get responses from Chat GPT in the application?

The user can input text through the readline interface, which then sends the input to Chat GPT and logs the response back to the user.

What does the video suggest about the future implications of AI like Chat GPT on jobs?

The video suggests that there might be concerns about AI taking jobs, and it refers to another video for a discussion on this topic.

Outlines

00:00

🚀 Introduction to ChatGPT API Integration

The paragraph introduces the new API expansion by OpenAI, allowing developers to directly integrate ChatGPT into their own applications. This integration enables the creation of AI-powered features within apps. The API is highlighted as being user-friendly, with the video set to demonstrate how to get started with this technology.

05:00

🔑 Setting Up Your OpenAI Account and API Key

This paragraph explains the steps to set up an OpenAI account, including signing up and managing your account. It mentions the free trial available and the cost-effectiveness of the API, especially for small-scale applications. It also covers the process of creating an API key, a critical step for using the API in your projects.

💻 Installing Dependencies and Setting Up the Project

The paragraph details the initial setup for the project, including installing dependencies like 'dotenv' and 'openai' via npm. It explains how to create a configuration file in VS Code, where the API key is stored, and setting up the package.json file to run scripts. The basic project structure is outlined, preparing the environment for further development.

⚙️ Configuring and Connecting to the OpenAI API

This section guides through configuring the OpenAI API in the project by setting up the necessary imports and creating an OpenAI object with the API key. It mentions the importance of checking the documentation for up-to-date information and demonstrates how to configure the chat model (GPT-3.5 Turbo) for generating responses.

📝 Sending Messages and Handling API Responses

The paragraph walks through the process of sending messages to the OpenAI API and handling the responses. It shows how to structure messages, access the API's response data, and extract the relevant information like message content. The importance of understanding the returned data and its structure is emphasized.

📜 Creating a User Interface for Input in Node.js

This section explains how to create a user interface in Node.js using the 'readline' library. It describes setting up a prompt for user input, processing the input asynchronously, and sending it to the API. The paragraph covers setting up a continuous loop to allow for multiple inputs, making the application interactive.

🔄 Running the Application and Getting Responses

The final paragraph demonstrates running the application and interacting with ChatGPT via the command line. It highlights the speed of the responses compared to the web interface and shows how the application can be expanded and integrated into larger projects. The video concludes by reassuring viewers about the practical applications of the API in their projects.

Keywords

💡API

API stands for Application Programming Interface, which is a set of rules and protocols for building software applications. In the context of the video, the OpenAI API allows developers to integrate Chat GPT's capabilities into their own applications. The script mentions creating an account on platform.openai.com to access the API and using an API key for authentication, which is fundamental to the video's theme of building AI applications.

💡Chat GPT

Chat GPT refers to a conversational AI developed by OpenAI that can generate human-like text based on user inputs. The video's main theme revolves around integrating Chat GPT into custom applications, demonstrating its potential to enhance user interaction and provide dynamic responses, as shown by the script's examples of creating a chat application.

💡Web Dev Simplified

Web Dev Simplified is likely the name of the channel or brand associated with the video's host, Kyle. It represents the educational aspect of the video, aiming to simplify complex web development concepts for the audience. The script uses this term to introduce the presenter and establish the video's educational purpose.

💡Node.js

Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine, allowing developers to run JavaScript on the server side. The video script describes setting up a Node.js application to demonstrate the integration of Chat GPT's API, using it to create a simple chat application that interacts with the AI.

💡Readline

Readline is a built-in Node.js module that provides an interface for reading data from a Readable stream (like process.stdin) one line at a time. In the script, Readline is used to create a user interface that prompts the user for input, which is then sent to Chat GPT for processing, illustrating the interactive aspect of the application.

💡.env file

The .env file is used to store environment variables in a project. In the video script, a .env file is created to store the API key for OpenAI's services, which is a common practice to keep sensitive information like API keys out of the source code and maintain security.

💡NPM

NPM stands for Node Package Manager, a package manager for the JavaScript programming language, and is used to manage dependencies in Node.js projects. The script mentions using NPM to initialize a project and install necessary packages like 'dotenv' and 'openai', which are key to the video's demonstration of integrating Chat GPT.

💡Configuration

In the context of the video, configuration refers to the setup process of the OpenAI API, including specifying the API key and other necessary parameters. The script describes creating a configuration object to pass to the OpenAI API, which is crucial for establishing a connection and making API calls.

💡Chat Completion

Chat Completion is a feature of the Chat GPT model that generates responses to user inputs in a conversational format. The video script details how to use this feature by sending messages to the Chat GPT model and receiving responses, which is central to the video's demonstration of creating a chat application.

💡Promise

A Promise in JavaScript is an object representing the eventual completion or failure of an asynchronous operation. The script mentions awaiting a Promise when calling the Chat GPT API, which is a way to handle asynchronous operations in JavaScript, allowing the script to wait for the API response before proceeding.

💡Documentation

Documentation in the context of the video refers to the official guides and references provided by OpenAI for using their API. The script mentions referring to the documentation to understand how to set up and use the OpenAI API, emphasizing the importance of documentation in the development process.

Highlights

Open AI has expanded their API to include Chat GPT, enabling direct responses integration into custom applications.

The API is user-friendly and allows building AI capabilities into applications with powerful chat functionalities.

A step-by-step guide is provided to get started with Chat GPT by creating an account on platform.openai.com.

Chat GPT is a paid API, but it's cost-effective with usage costing fractions of a penny.

An API key is essential for accessing the Chat GPT service and should be securely stored and used within applications.

A .env file is used to store and manage the API key for environmental configuration in the application.

Dependencies such as 'dotenv' and 'openai' are required for the application to interact with the Chat GPT API.

The script.js file is the core of the application where all the code for interacting with Chat GPT will reside.

The 'openai' module is imported to configure and access the Chat GPT API within the application.

Documentation is key for setting up and understanding the capabilities of the openai module.

Creating chat completions involves passing messages with roles and content to the Chat GPT model.

GPT-3.5-turbo is the current version of Chat GPT used in the example, but documentation should be checked for updates.

The API response includes a data property with choices that contain the AI's message content and other relevant information.

Readline is a built-in Node.js library used to create a user interface for input and output in the terminal.

The readline interface allows for continuous user interaction with Chat GPT through a loop that prompts and logs responses.

Chat GPT's responses are immediate and can be integrated into custom applications for various chat-related AI needs.

The video also addresses concerns about AI job displacement and provides a link for further discussion on the topic.

Transcripts

open AI which is the team behind chat

GPT just expanded upon their API and

added in chat GPT this means that you

can call their API and get responses

directly from chat GPT and include them

into your own applications which means

you can essentially build an AI into

your own applications which is super

powerful not only that but this API is

really easy to use and in this video I'm

going to show you how you can get

started by creating your own application

using chat GPT

[Music]

welcome back to web dev simplified my

name is Kyle and my job is to simplify

the web for you so you can start

building your dream project sooner to

get started with chat GPT the first

thing you want to go to is

platform.openai.com overview I'll leave

a link to that in the description down

below and all you need to do is create

an account so you can just click on sign

up to create your account once you've

done that you should probably get

redirected back to the same exact page

but now you'll see that you have an

account over here and if you click on

that you can go to manage your account

you can see that we have different usage

and also you should have a free trial

that has some amount of money added to

your account that's because chat gbt is

a paid API it's rather cheap in that it

only costs you fractions of a penny per

usage that you're doing as you can see

so far my usage has been less than one

penny in all the different trial stuff

that I've done and if you're working on

a small application it's going to cost

you almost nothing to run but obviously

if you scale up it'll be quite expensive

on a larger scale application now the

most important thing to get started with

the project is you need to go down to

your API keys and you're going to need

to create a brand new secret key when

you do this you can see your secret key

has popped up here this is the only time

you'll have to copy this so just make

sure you click copy on this and you're

going to use that inside of your

application other than that you don't

really need to mess with this at all and

just know that I'm going to be deleting

this secret key after this video so this

won't actually work for you now that we

have that created we can just close out

of this and we're going to come over to

our application in vs code I'm going to

create a file called D dot EnV and I'm

just going to paste that in here we'll

just say API key it's equal to whatever

that API key is going to be now the next

thing I want to do is actually install

all the dependencies we're going to need

so I can call npm init Dash y as you can

see that's generated a package Json for

me and then I can call npmi and I want

to install two dependencies the first

one is called dot EnV that's just going

to help us load our EnV file and the

next one is called open AI which is the

actual API we're trying to work with so

pretty self-explanatory what we're

working with there and now once we have

that done we can create a simple

script.js file where we're going to run

all of our code our package Json let's

just have a really simple

run in here so we're going to say Dev

and then inside of here we can say that

we want to run script.js every time we

run npm run Dev it's going to run all

the code in this file which is currently

nothing now in order to show you how

this works I'm just going to be doing a

really simple node terminal application

but you can obviously expand this to

whatever you want the very first thing

we could do I'll Zoom this in so it's a

little easier to read we can get our

config set up so we're going to say

import config from and we want to get

that from dot EnV and we can just call

this method what that's going to do is

it's just going to set up our config

file for us now if we console.log

process.env Dot and we called it API URL

we run our script it should hopefully

print out that URL for us you're going

to notice we're getting an error though

and this is because if you want to use

modules like I have inside of node all

you need to do is come in here and set

your type here equal to module now if we

do that and we run this you can see it

should work and right now it's printing

out undefined the reason for this is

obviously this should say API key

instead of URL so now if I rerun that

you can see that it's printing out that

API key so we're able to get that in

information next we need to get all the

stuff from our openai we can come in

here we can import from open Ai and the

most important things that we're going

to need is we're going to need some type

of configuration and then we're also

going to need access to the openai API

so configuration is how you set

everything up like your API key and

openai API is actually what you call to

do everything inside of the AI now if

you're curious how I found all this out

everything is inside the documentation

here for how you can set up openai and

if you go down they have guides for

things like chat so you can set up all

of your chat related stuff most of these

guides are going to be in PHP because

that's what they expect you to use but

you can kind of translate over to what

Json or JavaScript is going to look like

it's not too much of a translation

anyway once we have that done we can set

up our open Ai and this is going to be

coming from

a new open AI object so we can create a

new version of our open Ai and here we

just need to pass it a new version of

our configuration and the only thing we

need to pass to our configuration is an

API key we know that our API key here is

just this let's just copy it up there we

go so now we have access to that open

API now this open API has a lot of

things you can do inside of it so we can

say open AI Dot and as you can see

there's a ton of things but the one we

care about is going to be creating a

chat completion and inside here we need

to pass in some information the first we

pass to the model of the AI that we want

to run in our case we want to use GPT

hyphen 3.5 turbo that is the current

most up-to-date version of Chad GPT that

you can use at this time but again if

you want to get a more up-to-date or

different version you can check the

documentation for whatever the best

version is going to be then we want to

send it the messages and the message is

just an array of all the messages you

want to send and each object in the

array is an object it's going to have a

role so this is going to be who sends

this message whether it comes from a

system whether it comes from chat gbt

themself which is the assistant or if it

comes from a user in most cases you're

going to be sending messages that come

from a user so you're going to say the

role is user

then you need to specify the content so

whatever message you want to say like

hello chat CPT that's what we could have

our message be let's just capitalize it

properly and that's going to be calling

this and this gives us a promise which

comes out with a result

but for now let's just console.log that

result and we're going to see exactly

what this looks like it's going to give

this quick save we're going to run this

and we're going to see what our result

prints out to us so give it a second and

I'll just expand this up so it's a

little easier to see you can see it

gives it a ton of different information

being returned to us but most

importantly we have this section down

here which gives us information on our

choices as well as the different amounts

of usage that we have which is going to

determine our cost and all this is

coming inside of a data property so what

we can do is we can say dot data.choices

and that's the thing that we really care

about the most so if we just rerun this

real quick I'll expand this up I'll

rerun exactly what we did and we should

hopefully get back a result as you can

see it's an array of all the different

messages because you can ask it to give

you more than one message if you want

you can see it contains a message the

role is assistant because this is coming

from chat GPT as well as the actual

message content that it's going to be

printing out to us and a few other

things such as why it stopped giving you

a response because there are certain

limits on the amount of text you can

return and if it goes over that limit

this reason may change for the most part

all we want to do is is get the first

element from this array and we want to

get the message and we want to get the

content of that message so we can do

that right now we want to get the very

first choice we want to get the content

which is going to be our message inside

that we want to get the content so now

if I run this again it should hopefully

just print to us whatever chatgpt

response hello how can I assist you

today that's exactly what we expect now

what we need to do is add a way for the

user to input information and be able to

react to that with chat GPT the best way

for us to do that inside of node.js is

going to be with a library called

readline which is built into node so we

can say read line

from readline just like that that's

coming straight from node and all we

need to do is set up some type of user

interface this is going to be how we

input information so I'm going to call

this user interface this is just going

to be set to read line

dot create

interface

this is going to take into properties

our input which is going to be our

standard in so we can say process that's

standard in and then we have our output

which is just process.standard out there

we go and now here our user interface we

can actually tell it to do certain

things so for example we can call user

interface.prompt and all that's going to

do is it's going to prompt the user to

have some type of input so if really

quickly I just comment out what we have

down here and I run this we should just

see a prompt show up as you can see we

have a prompt and we can type inside of

that prompt hit enter and it'll do

certain stuff now the next thing we want

to do we just comment this back in is we

can set up the listener in here so we

can say user interface dot on and I want

to listen online so every single time I

hit enter that's going to be saying hey

send this along that's going to be a

brand new line and all I want to do is I

want to get our input I'm going to do

this asynchronously so we're going to

say async input we're going to use that

as an arrow function if you're not

familiar with async await I have a full

video on it I'll link in the cards and

description for you but essentially it

allows you just to wait for promises to

finish which in our case this is a

promise right here we can await this and

we can get the result back just like

that so we don't even need to worry

about this dot then we comment this out

for now and our content here we just

want to put as our input is whatever we

type into our prompt and hit enter

that's going to be this input right here

then we can take this response and we

can log it out to the user so we can

just essentially copy this line right

here paste it down right there that's

going to be most of what we need all we

want to do is then just show The Prompt

back to the user so if we just delete

all that code and we look at what we

have here essentially we're saying okay

prompt the user for some input whenever

they give us input send that over to

chatgpt log out the value to the screen

and then ask them for input again and

just Loop and loop forever so if we run

this you can see it's going to ask us

for something so I can say how are you

hit enter it's going to give us back a

response and it says a bunch of stuff if

I move my camera out of the way you can

see it says it doesn't have feelings

blah blah blah super straightforward we

can say who is web dev simplified

hit enter and it's going to give us

hopefully an accurate response we'll see

if it does or not span this a little bit

we'll have to simplifies YouTube Channel

created by me okay yeah it's rather

accurate I'm not going to read it all

but at least I got my name right and you

can see that we can interact with chat

gbt and the responses are actually

rather quick that it gives it to us back

it's a lot quicker than when you use the

website because it makes you type out

each character individually while here

it's just showing you the response

immediately which is really nice the

best of all you can integrate this into

your own application for your own chat

related AI needs

and that's really all it takes to

implement this API now if you're afraid

that chat GPT is going to take your job

or change how you work you're going to

want to check out this video right over

here where I talk about that exact topic

with that said thank you very much for

watching and have a good day