Build Anything With ChatGPT API, Here’s How

Summary

This video script guides viewers on creating an AI app using the Cad GPT API, even without programming knowledge. It walks through obtaining an API key from platform.open.com, setting up environment variables, and utilizing Python packages to process PDF files and access the GPT model. The tutorial aims to build a custom book summarizer app, emphasizing the ease of developing AI applications with APIs and the opportunities they present for niche industries. The script also touches on the importance of understanding AI in the upcoming era of AGI and invites viewers to join a community for staying ahead in the AI revolution.

Takeaways

• 😀 Building AI apps with APIs like OpenAI's can be done quickly even without programming knowledge.
• 🔑 The first step is to obtain an API key from the OpenAI platform, which requires a login and possible phone verification.
• 📖 The script demonstrates creating a book summarizer app using GPT-4, which can generate summaries on given topics.
• 🛠️ Essential packages for the project include 'openai', 'PiPDF2', and 'python-dotenv', which need to be installed via pip.
• 💡 It's important to keep the API key secret and to set it up in an environment file for secure access.
• 📚 The app uses a PDF processing library to read and process a book's content, excluding certain pages to avoid unwanted content.
• 📝 The script involves setting up key variables such as the model, temperature, max tokens, and topic for the summarizer.
• 🤖 The use of 'prompt engineering' is crucial to convince the AI to generate summaries without violating copyright laws.
• 📈 The script highlights the advantage of using APIs in building AI apps, making the process significantly easier than building from scratch.
• 💼 The potential for building successful businesses using APIs is underscored by the example of an AI startup valued at $520 million.
• 🌐 The script encourages joining a community at the forefront of AI to gain an advantage in the AI Revolution and prepare for AGI.

Q & A

What is the first step to start building an AI app with the Cad GPT API?

The first step is to obtain an API key by visiting platform.open.com and using the same login credentials as on chbd.

Why might a new user need to verify their phone number on the platform.open.com?

A new user might need to verify their phone number as a security measure, which is often required when accessing the API keys section for the first time.

What is the importance of keeping the API key secret?

The API key should be kept secret to prevent unauthorized access and potential misuse of the API services, as it is tied to the user's account and usage limits.

What is the purpose of creating an environment file for the Open AI API key?

Creating an environment file helps to securely store sensitive information like the API key, making it accessible within the application without hardcoding it into the source code.

What is the book that the speaker wants to summarize using the GPT 4 model?

The speaker wants to summarize 'The Almanack of Naval Ravikant' by Eric Jorgensen using the GPT 4 model.

Why is it necessary to remove certain pages from the PDF before processing it with the GPT 4 model?

Certain pages may contain content that the AI does not like or find useful, such as copyright information or irrelevant sections, which is why they are removed to streamline the summarization process.

What is the significance of the 'temperature' setting in the GPT model?

The 'temperature' setting affects the randomness of the model's output. A lower temperature makes the model more deterministic, while a higher temperature increases randomness.

What is the role of the 'Max tokens' setting in the GPT model?

The 'Max tokens' setting determines the maximum number of tokens the model will generate in its response, which helps to control the length of the output.

Why is prompt engineering important when summarizing copyrighted material with AI?

Prompt engineering is important to convince the AI that it is generating a summary of its own text, rather than copyrighted material, to avoid copyright infringement issues.

How can one utilize the GPT API for building AI apps without prior programming knowledge?

One can utilize the GPT API for building AI apps by following guides and documentation, using tools like CH GPT to explain code, and learning by building projects step by step.

What is the potential cost implication of using the GPT API for summarizing a large text?

The cost depends on the number of tokens processed, but for summarizing a large text like a 242-page book, it could be around $1 to $2, assuming efficient use of the API.

Outlines

00:00

🔑 Getting Started with the GPT API

The script begins by introducing the ease of creating an AI app using the GPT API, even without programming knowledge. It details the process of obtaining an API key from platform.open.com, emphasizing the importance of keeping it secret. The creator then outlines the initial steps to set up the environment for the app, including installing necessary packages like 'openai', 'PiPDF2', and 'python-dotenv'. The goal is to build a custom book summarizer using GPT-4, which can provide insights on a given topic from a 200-page book. The script also touches on the broader implications of APIs in simplifying AI app development and their role in the AI Revolution.

05:01

📚 Building the Custom Book Summarizer

This paragraph delves into the technical aspects of building the book summarizer. It discusses the installation of the PDF package for processing PDF files and the use of the GPT API for text summarization. The script explains how to set up key variables such as the model, temperature, and max tokens for the GPT API. It also introduces the concept of prompt engineering to convince the AI to summarize copyrighted material by treating it as if it's the user's own text. The chosen book for summarization is 'The Almanack of Naval Ravikant' by Eric Jorgensen, which is available online for free.

10:02

🤖 Implementing the Summarization Function

The script continues with the implementation of the summarization function, explaining how to interact with the GPT API to get a response. It details the creation of a helper function to simplify the process and the importance of referring to the official documentation for any changes. The function is designed to return the content of the first choice from the API response, which contains the summarized text. The script also includes a test run of the function with a simple prompt to ensure it works correctly. Additionally, it discusses the cost implications of using the API and the potential for building niche apps with APIs, highlighting the opportunities they present in the AI industry.

Keywords

💡API Key

An API key is a unique identifier used to authenticate a user, developer, or calling program to an API. In the context of the video, it's the first step to access the GPT API, allowing the user to build AI applications. The script mentions obtaining an API key from 'platform.open.com' and emphasizes its secrecy, indicating its importance in the authentication process.

💡GPT (Generative Pre-trained Transformer)

GPT stands for Generative Pre-trained Transformer, which is a type of AI language model capable of generating human-like text based on the input it receives. The video discusses using GPT 4 to create a custom book summarizer, highlighting the model's ability to process large amounts of text and generate summaries, which is central to the video's theme of building AI apps.

💡Python

Python is a high-level programming language used for a wide range of applications, including building AI apps. Although the video suggests that one can build an AI app without knowing Python, it is implied that some knowledge of Python is necessary for more advanced app development, as the script later discusses importing Python packages.

💡Environment Variable

Environment variables are a set of dynamic values in the operating system that can affect the way running processes behave. In the video, the API key is stored as an environment variable to keep it secure and accessible within the application, as demonstrated when the script mentions creating an '.env' file to store the Open AI API key.

💡PDF2TXT

PDF2TXT refers to the process or software that converts Portable Document Format (PDF) files into plain text. The script mentions using 'pdf2txt' to process PDF files, which is essential for the app's functionality since it needs to extract text from a PDF to summarize its content.

💡Prompt Engineering

Prompt engineering is the art of designing input prompts for AI models to elicit desired responses. The video discusses creating a system message and a main prompt to convince the GPT model to summarize copyrighted material by treating it as the user's own text, which is a critical part of the app's functionality.

💡Token

In the context of AI language models, a token refers to the basic units of text, such as words or characters, that the model processes. The script mentions a 'token window' of GPT 4, which is the maximum number of tokens the model can process at once, and the conversion of words to tokens for processing.

💡Custom Book Summarizer

A custom book summarizer is an AI application that can generate summaries of books based on specific topics or instructions. The video's theme revolves around building such an app using GPT 4, where the user can input a topic, and the app provides a summary of that topic from a book.

💡Temperature

In AI, temperature refers to a parameter that controls the randomness of the model's output. A lower temperature makes the model more deterministic, while a higher temperature increases randomness. The script sets the temperature to 0.3 to make the book summarizer's output more predictable.

💡Max Tokens

Max tokens is a parameter that specifies the maximum number of tokens the AI model will generate in its response. The script sets this to 500, indicating the model will not produce more than 500 tokens in the summary, which is a way to control the length of the output.

💡AI Revolution

The AI Revolution refers to the significant shift in technology, business, and society due to advancements in artificial intelligence. The video mentions this term to emphasize the importance of understanding and utilizing AI technologies, like APIs, to stay ahead in this transformative era.

Highlights

Building AI apps using the Cad GPT API is achievable within minutes even without programming knowledge.

An API key is required and can be obtained from platform.open.com using the same login as on Chad.

New users may need to verify their phone number to access API keys.

Creating a new secret key is crucial, and it should remain confidential.

The tutorial aims to build an app like Blinkist, which provides book summaries using GPT 4.

Importing necessary packages such as OS, Pi PDF 2, and open AI is essential for the app development.

Packages need to be installed using pip, and open AI's documentation provides a guide for beginners.

Environment variables must be loaded to access the API key within the main.py file.

The language model GPT 4 is chosen for its large token window and capabilities.

APIs have significantly simplified the process of building AI apps, as highlighted by the speaker.

The potential of AI startups built on top of APIs like GPT 4 is enormous, as exemplified by a $520 million valuation.

Knowledge of APIs and building AI apps is a significant advantage in the AI Revolution.

The speaker introduces the New Society, a community for those at the forefront of AI.

Key variables such as model, temperature, max tokens, and topic are set up for the app.

Prompt engineering is necessary to convince the AI to summarize copyrighted material.

The book 'Almanack of Naval Ravikant' by Eric Jorgenson is chosen for summarization.

PDF files require processing, which is facilitated by the Pi PDF 2 package.

A test API call is made to ensure the setup is correct and to receive a response from GPT 4.

The cost of using the API is monitored, with an expectation of minimal expenditure.

Building apps with APIs presents an opportunity for niche markets that large companies may overlook.

The speaker offers resources and a community for those interested in AI development and startups.

Transcripts

with the cad GPT API you can build your

own AI app in a matter of minutes even

if you know nothing about python or

programming the first thing you need is

an API key you have to go to platform.

open.com and use the same exact login as

you would on chbd and boom we're inside

now go on to the left and click on API

keys if you've never been here before

you might need to verify your phone

number now after you verifi the phone

number it should look something like

this now as you can see I already have

some API Keys over here and I also have

an organization David Andre you will

probably have this empty and that's fine

all we have to do is create a new secret

key and as the name suggests it's secret

so do not share this with anybody so

let's do tutorial and create secret key

now as it says you won't be able to view

it again so make sure to copy it I'm

going to go into vs code and put it as a

comment which is actually not a good

practice so instead what I'm going to do

is I'm going to create the environment

uh file right away open AI API key and

assign this now you might be thinking

but David what are you going to build

well I want to make an app like blinkist

you know it gives you book summaries now

obviously we won't have fancy UI like

this but we will use GPD 4 to create

custom book summarizer where we can give

it a topic and it gives us all di

mentions of that topic in a 200 Page

book now the first thing I'm going to do

is I'm going to import some packages OS

we'll be using this to access the

environment variable Pi PDF 2 will be

you know processing the PDF files

through that open AI obviously this is

for accessing the GPD for API VSS code

is not recognizing these packages and

that's because I have not in sold them

now actually open AI if you go to

documentation quick start they have an

excellent guide on getting started right

by the way you can always ask Che gbts

to install these packages what you would

normally do is go into terminal and

create a new terminal and do you know

pip install open AI but actually I'm

using K here pip install open AI so as

you can see it's installing the all the

packages pip install P PDF 2 and we also

need n now this one is a little

different

this one is uh pip install python Das

donf okay and as you can see it's no

longer highlighted which is good the

next thing is we need to load the

environment variable because right now

we have it saved but it's not actually

accessible in the main.py file so I'm

going to paste this line of code all

right so let's set up the key variables

we will need for this the first one is

the model you know the language model if

we go into documentation and go into

models you'll see like all the different

models open air offers obviously we

going to go for GPT 4 but yeah as you

can see it's 128,000 token window which

is four times bigger than CH GPT and

this is like only one of the main

reasons why apis are awesome like apis

have made building AI apps 100 times

easier imagine if there were no apis

like from the one from open AI or Google

Deep Mind like imagine if there wasn't

an any API available we would have to

build those language models from scratch

or use open source ones and run like

inference locally that's much more

complicated than just using open a API

so this has made building AI apps 100

times easier in fact people are building

entire companies with this exact method

let's look at perplexity valuation this

AI startup is valued at $520 million

that's half a billion dollars and it was

built on top of the gp4 API like knowing

how to use API will give you a massive

advantage in the AI Revolution once AGI

is created it won't matter what your

income is or what college degree you

have the thing that will matter by far

the most is what you know and who you

know this is precisely why I created the

new Society a community of people at The

Cutting Edge of AI so if you want to be

among the people who are building the

future make sure to join first link in

the description now let's continue

setting up the key variables we have the

model but we also need the temperature

which 0.7 is the default one inside of

jgpt I'm going to use 0.3 to make the

model a little more deterministic little

less r random we also need uh Max tokens

let's do like 500 that's pretty standard

I think and I'm going to also set the

topic which is going to be what the AI

makes the summary on so we can leave

this empty for now now we have the key

variables actually I'm going to create

one more file and that's going to be

prom. py and this is going to be where

we store the proms so these are the

proms I'm working with and there are two

proms right so it's intimidating but

it's kind of simple at the same time

there's a system message which you know

has the custom instructions system

prompt whatever you want to call it and

then we have a function that creates a

prompt the reason why we have this is

that I can reference the book from the

main python file and I can also change

the topic so this is a variable and it

can change the reason I have to do such

prompt engineering is because if you

don't do this the AI will actually

refuse to give you book summaries

because it's copyrighted material so you

have to go try hard and like convince it

that it's your own text as you can see

like I've over the past 3 years I have

dedicated myself to this work like you

literally have to create a story that

this is your book now the book I've

chosen to summarize is the almanak of

Naval ravikant by Eric Jorgenson this

one you know has a free pdf online 242

pages and it's honestly one of the best

books I've ever read okay so now we have

the PDF right here there's a lot of

garbage in here and that's why we

installed the PDF package is because

we're going to use that to actually read

the PDF because it's not as simple as

reading a txt file okay yeah I read the

PDF file so let's do an empty book

variable file path equals and then we do

naval PDF you know what I'm going to put

this on hold and I'm going to do a test

API call and in here we need to do

system message and we we need to

reference this system message to do that

we have to import prompts so let's go in

here and import

prompts and then we can do prompt.

system message beautiful obviously we

also need the main prompt prompt.

generate prompt now actually in here I'm

going to pass the book which I've

deleted so let's put it back in empty

variable for now and topic for a

reference of the of the topic that's I

mean I spent a good hour on this just

trying to convince gbd4 that it's fine

to summarize the book it's good to

create a helper function and make it a

bit simpler also it's smart to go into

the documentation because every few

months this gets changed quite a bit we

have the two first two lines and we can

copy the rest paste it here and I'm

going to comment it out boom now we can

name the function like I don't know get

summary right so let's follow the

official documentation completion equals

client. chat. completions doc create and

actually in here we could do it like

this you know but I think I'm going to

simplify it that way it's like much

easier to see what's actually going on

so let's go back to the function

messages equals messages we also do

temperature equals temperature and Max

tokens equals Max tokens and now we have

to return the completion return

completion choices message and this is

not everything because we only need the

content because if we go into API and

actually go into chat you can see how it

looks like this is how the response

looks so this is how it looks right and

what we really need is we need choices

the First Choice index zero so we have

that you know completion. choices zero

and then we need the message

message and specifically the content we

don't need the roll we need the content

so this is how we access exactly you

know the good part and this should be

the main part done so we can actually

delete this and you know we need to

print summary to test it out let's do

something simple right so this is just a

string we can do you are a helpful

assistant this is classic and for here

you know you can say like list out 10

facts about AI whatever and if we do

this we should get an API response

hopefully oh there it is we've gotten a

response from gbd4 Turbo and actually

what's fun let's go

into um API keys and let's go into what

is it usage okay usage this is my

current spend for today so we will see

how much it costs at the end hopefully

all of this is simple by the way what

you can do if like anything doesn't make

sense just go into CH GPT and say

explain the following code as if I'm a

beginner boom paste it in here and it

will explain it you don't even have to

copy paste it you can just screenshot it

boom explain every line of code and then

yeah you can just paste a screenshot

from any video you watch like GPD vision

is so amazing now the topic actually

let's set it now so I don't forget let's

do money because I know that's mentioned

in the book like you can consume an

entire 242 page book in a matter of

minutes once you have this running we

also need the file path as we had it

before Naval PDF and now we need to open

it this I'm going to delete because we

actually need to remove the first like

23 pages and the last 30 pages for some

reason when the AI sees contents it

doesn't like that so I literally had to

remove like 53 pages from the book you

know unfortunately we can't have it so

simple you know this is how we open the

file at the file path we save it as a

file variable then we do reader which is

a new variable and we assign to it PDF

reader from the library next we need to

do total pages and that equals to length

of reader. pages and for starting page

we need to start page equals 23 and end

page equals total Pages minus 30 now we

need a for Loop and as you can see cop

palet is already suggesting that for us

but let's you know let's write it out

why not for for every page number in

range and you know again this is range

of numbers starting with start page 23

and end page with a total Pages minus 30

and then for every page we should do

page equals reader. Pages page number

and then we do simply we append the page

to our book with you know we can do a

new line character or just a space let's

do a space and actually should be book

obviously so now this should give us a

book variable with the entire text of

the PDF print book to test it out now as

you can see it clearly worked because we

have the entire book printed in here we

have to change our messages to system

message and to prompt and then we use

use this simple function let us change

the topic summary on money happiness

Fitness like the navel book is about a

lot of topics again I definitely

recommend you read it it's amazing book

shout out Eric Jorgenson we should have

everything in order let's do a test run

and fingers crossed that the AI doesn't

refuse because we're literally pasting

in I mean we can just go to

wordcounter.net and see how many words

this is obviously we removed some pages

but still 46,000 words so we removed

probably like it's probably like 40,000

words which to convert to tokens we have

to do this is 53,000 tokens so like half

of the context window of gb4 and as you

can see we got a response and let's

actually see how much money we've spent

let's go into billing usage refresh it

probably still needs to update but yeah

it's going to be like you know1 or $2 at

most one thing I want you to understand

is that building apps with apis is a

massive opportunity there are thousands

of small niches that big companies like

open AR or deep mind will never go after

niches Industries where you actually

have an unfair Advantage a lot of

experience so you know what the people

need like launching a startup has never

been easier open air tells you

everything and also we have this amazing

tool cgbd as you can see it broke down

every single line of code and explained

it you don't even have to know

programming you can just learn while

you're building something now I'm going

to upload all of this code including the

proms in here into this module in my

community where I also upload all my

custom instructions great custom

instructions from others all the code

from my past videos the projects I've

built in unity my custom gpds as well as

a bunch of other stuff if you want to

prepare for the AI Revolution and don't

want to be left behind like most people

will make sure to join for Link in the

description