Ever wondered whether Kanye Intelligence can outperform Artificial Intelligence? Learn how to use ChatGPT in our Kanye-themed AI prompt engineering training and find out whose intelligence reigns supreme.

Build a YeBot with OpenAI API

Get started with the course. Get to know prerequisites and learning outcomes and get an overview of AI and machine learning.

<p>Yo, yo, yo! What's good, everyone? We are Metaschool, and today we’re here to tell you about a course that's gonna blow your mind!</p><p>We're talking about a course where we're gonna teach you how to make your very own Twitter AI bot using the latest and greatest technology - the GPT-4 model. And not just any bot, we're talking about a bot that's gonna mimic the one and only, Kanye West.</p><p>Now, I know you're probably thinking, "Hey, why would I want to make a bot that sounds like Kayne?" Well, let me tell you, my friend, there's nothing cooler than having your own personal Kanye West AI bot spitting out fire tweets and dropping knowledge bombs like it's nobody's business!</p><p>But don't take my word for it, you gotta try it out for yourself. We've got a live <a href="https://twitter.com/0xyechatgpt" alt="Kanye West AI bot on Twitter" class="on">Kanye West AI bot on Twitter</a>&nbsp;that's already causing a stir. People can't get enough of it! So, before you even start this course, go check it out and see what all the fuss is about.</p><p>So, are you ready to step up and take on the challenge? Let's do this, fam!</p><h2><strong>Learning Objectives</strong></h2><p>Throughout the course, we'll be learning about some crazy stuff, including:</p><ol><li>Discovering what OpenAI API is and how it works – get ready to unleash your creativity with its insane tools.<br></li><li>Learning the fundamentals of OpenAI API and unlocking its full potential – no cap.<br></li><li>Playing with OpenAI Playground and writing your first few prompts – get ready to watch your ideas come to life!<br></li><li>Setting up the development environment and getting your hands on those OpenAI credentials – start building your dream projects like a pro!<br></li><li>Creating a simple GPT-4 model and witnessing the magic of AI-powered responses – it's gonna blow your mind!<br></li><li>Building and running a Twitter AI bot from scratch using OpenAI API and getting responses on your tweets from Kanye himself – like, for real!<br></li></ol><h2><strong>Prerequisites</strong></h2><p>Learning new tech is always easier when you got some prior knowledge. So, before diving into OpenAI and AI model development, we recommend brushing up on the following:</p><ol><li><strong>API basics</strong>: It's super helpful if you got a basic understanding of APIs and how to use them.</li><li><strong>Critical thinking</strong>: To wrap your head around the complex and abstract concepts in OpenAI and AI, you'll need some solid critical thinking skills.<br></li></ol><p>But don't sweat it, my peeps – you can still learn OpenAI API and AI model development without knowing everything in advance. It's just gonna be way smoother if you got some background knowledge under your belt. So let's get learning, fam – it's gonna be lit!</p><p><br></p>

# What’s Up?

Yo! Wat's good, everyone? We are Metaschool, and today we’re here to tell you about a course that's gonna blow your mind!

We're talking about a course where we're gonna teach you how to make your very own AI bot using the latest and greatest technology - the GPT-4 model. And not just any bot, we're talking about a bot that's gonna mimic the one and only, Kanye West.

Now, I know you're probably thinking, "Hey, why would I want to make a bot that sounds like Kayne?" Well, let me tell you, my friend, there's nothing cooler than having your own personal Kanye West AI bot spitting out fire tweets and dropping knowledge bombs like it's nobody's business!

Let me give you a sneak peek of the one and only YeBot that you're gonna build!

![YeBot.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/What%E2%80%99s%20Up%20e0976f9262fa4fb6a2be99c2d8b3739f/YeBot.gif)

But don't take my word for it, you gotta try it out for yourself. We've got a live Kanye West AI bot on [this website](https://main--teal-elf-5fdf29.netlify.app/), that's already causing a stir. People can't get enough of it! So, before you even start this course, go check it out and see what all the fuss is about.

So, are you ready to step up and take on the challenge? Let's do this, fam! 

## Learning objectives

Throughout the course, we'll be learning about some crazy stuff, including:

1. Discovering what OpenAI API is and how it works – get ready to unleash your creativity with its insane tools.
2. Learning the fundamentals of OpenAI API and unlocking its full potential – no cap.
3. Playing with OpenAI Playground and writing your first few prompts – get ready to watch your ideas come to life!
4. Setting up the development environment and getting your hands on those OpenAI credentials – start building your dream projects like a pro!
5. Creating a simple GPT-4 model and witnessing the magic of AI-powered responses – it's gonna blow your mind!
6. Building a NextJS app and creating a local Python server API to connect the App with the model and get reply from Kanye himself – like, for real!

## Prerequisites

Learning new tech is always easier when you got some prior knowledge. So, before diving into OpenAI and AI model development, we recommend brushing up on the following:

1. API basics: It's super helpful if you got a basic understanding of APIs and how to use them.
2. Critical thinking: To wrap your head around the complex and abstract concepts in OpenAI and AI, you'll need some solid critical thinking skills.
3. Python installed: We assume that you have already installed python 3.8 in your system that can be used to run simple python programs.

But don't sweat it, my peeps – you can still learn OpenAI API and AI model development without knowing everything in advance. It's just gonna be way smoother if you got some background knowledge under your belt. So let's get learning, fam – it's gonna be lit!


https://raw.githubusercontent.com/0xmetaschool/Learning-Projects/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/1.%20What%E2%80%99s%20Up.md

What’s Up?

<p>Listen up, y'all, it's time to talk about something big. We're talking about AI and machine learning, two of the most cutting-edge technologies out there. These technologies are changing the game, from virtual assistants like Siri and Alexa to self-driving cars and even medical diagnosis.</p><h2>So, what is AI?</h2><p>It's the simulation of human intelligence in machines that can think and act like us. And there are two types of AI:</p><ul><li><strong>Narrow AI </strong>is designed to perform specific tasks, like image recognition or language translation</li><li><strong>General AI</strong> is designed to handle any intellectual task that a human can do. It can make decisions and learn from experience.<br></li></ul><h2>Now, let's talk about machine learning</h2><p>It's a subset of AI that focuses on teaching machines to learn and improve without being explicitly programmed. We train algorithms on data to identify patterns and make predictions, and the more data we use, the better the algorithm becomes.</p><h2>Types of machine learning</h2><p>There are three main types of Machine Learning. Each type has its own strengths and weaknesses and is used in different applications.​</p><ul><li><strong>Supervised Learning</strong>: This is the most common type of Machine Learning. It involves training an algorithm on labeled data, where the correct answers are already known. The algorithm learns to associate input data with the correct output.</li><li><strong>Unsupervised Learning</strong>: This type of Machine Learning involves training an algorithm on unlabeled data, where the correct answers are not known. The algorithm learns to identify patterns and group similar data points together.</li><li><strong>Reinforcement Learning</strong>: This type of Machine Learning involves training an algorithm to make decisions based on rewards or punishments. The algorithm learns to take actions that lead to the most rewards and avoid actions that lead to punishment.<br></li></ul><h2><strong>Applications of AI and Machine Learning</strong></h2><p>AI and Machine Learning have a wide range of applications in various industries, including:​</p><ul><li>Healthcare: AI can be used to analyze medical images, diagnose diseases, and develop personalized treatment plans.</li><li>Finance: AI can be used to detect fraudulent transactions, predict stock prices, and manage investments.</li><li>Retail: AI can be used to recommend products to customers, optimize supply chains, and improve customer service.</li><li>Transportation: AI can be used to develop autonomous vehicles, optimize routes, and predict maintenance needs.<br></li></ul><h2><strong>Future of AI and Machine Learning</strong></h2><p>Let me tell you about this AI and Machine Learning thing, it's crazy! The possibilities are endless, from self-driving cars to personalized healthcare, it's gonna change the game. But yo, we gotta keep it real and talk about the ethical side of things too. Privacy concerns and bias in decision-making are real issues that we need to address. As these technologies continue to evolve, we gotta make sure we're using them for the greater good, you feel me? Let's make sure we're using AI to benefit everyone, not just a select few.</p><h2>So, that's the wrap up, y'all</h2><p>AI and Machine Learning are changing the way we live and work, and we need to make sure we're using them for good.</p><p><br></p>

# Unleash the Possibilities of AI

---

Listen up, y'all, it's time to talk about something big. We're talking about AI and machine learning, two of the most cutting-edge technologies out there. These technologies are changing the game, from virtual assistants like Siri and Alexa to self-driving cars and even medical diagnosis.

## So, what is AI?

It's the simulation of human intelligence in machines that can think and act like us. And there are two types of AI: 

- **Narrow AI** is designed to perform specific tasks, like image recognition or language translation
- **General AI** is designed to handle any intellectual task that a human can do. It can make decisions and learn from experience.

## Now, let's talk about machine learning

It's a subset of AI that focuses on teaching machines to learn and improve without being explicitly programmed. We train algorithms on data to identify patterns and make predictions, and the more data we use, the better the algorithm becomes.

## Types of machine learning

There are three main types of Machine Learning. Each type has its own strengths and weaknesses and is used in different applications.

- **Supervised Learning**: This is the most common type of Machine Learning. It involves training an algorithm on labeled data, where the correct answers are already known. The algorithm learns to associate input data with the correct output.
- **Unsupervised Learning**: This type of Machine Learning involves training an algorithm on unlabeled data, where the correct answers are not known. The algorithm learns to identify patterns and group similar data points together.
- **Reinforcement Learning**: This type of Machine Learning involves training an algorithm to make decisions based on rewards or punishments. The algorithm learns to take actions that lead to the most rewards and avoid actions that lead to punishment.

## Applications of AI and Machine Learning

AI and Machine Learning have a wide range of applications in various industries, including:

- Healthcare: AI can be used to analyze medical images, diagnose diseases, and develop personalized treatment plans.
- Finance: AI can be used to detect fraudulent transactions, predict stock prices, and manage investments.
- Retail: AI can be used to recommend products to customers, optimize supply chains, and improve customer service.
- Transportation: AI can be used to develop autonomous vehicles, optimize routes, and predict maintenance needs.

## Future of AI and Machine Learning

Let me tell you about this AI and Machine Learning thing, it's crazy! The possibilities are endless, from self-driving cars to personalized healthcare, it's gonna change the game. But yo, we gotta keep it real and talk about the ethical side of things too. Privacy concerns and bias in decision-making are real issues that we need to address. As these technologies continue to evolve, we gotta make sure we're using them for the greater good, you feel me? Let's make sure we're using AI to benefit everyone, not just a select few.

Now that we have learned what AI and machine learning is. Let’s dive into one of the application of AI, ChatGPT.

## What is ChatGPT?

ChatGPT is a large-scale AI language model that can talk with people, just like you and me! ChatGPT use unsupervised learning that allows it to understand the conversations and generate appropriate responses.

**The way it works is like this**: you type something into a chatbox or ask a question, and ChatGPT uses all of its knowledge and experience to try to give you the best possible answer. Sometimes it might make a mistake or not understand something you say, but it's always learning and getting better over time.

### ChatGPT features

ChatGPT has a ton of cool features that make it one of the best AI language models out there. Here are some of them:

- It can understand and respond to natural language conversation.
- It can be trained on specific topics to provide more accurate and relevant responses.
- It can generate text in multiple languages.
- It can provide suggestions and recommendations based on user input.
- It can even code and tell jokes!.

## Let’s get started with ChatGPT

Head over to [ChatGPT](https://chat.openai.com/) website and signup. After signing up, you would see the interface like this:

![Screenshot 2023-04-06 at 4.04.18 PM.png](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/Unleash%20the%20Possibilities%20of%20AI%209edd68260d9645b0bb1b6e0dde1eccf0/Screenshot_2023-04-06_at_4.04.18_PM.png)

### Experiment

Let’s start experimenting with ChatGPT.

**Example 1**

First of all let’s try conversing with ChatGPT.

![first chatgpt conversation.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/Unleash%20the%20Possibilities%20of%20AI%209edd68260d9645b0bb1b6e0dde1eccf0/first_chatgpt_conversation.gif)

**Example 2**

Let’s try asking ChatGPT that what should we do if we are bored and try asking for different suggestions. For example:

1. I am bored. What should I do?
2. I am bored. Suggest me dope anime.

![2nd chatgpt questions.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/Unleash%20the%20Possibilities%20of%20AI%209edd68260d9645b0bb1b6e0dde1eccf0/2nd_chatgpt_questions.gif)

💡 Did you notice how the response of ChatGPT changed after tweaking our question a little?

**Example 3**

Now, let’s ask ChatGPT to translate the following phrase to Japnese: “Art lives, Man dies.”

![3rd chatgpt question.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/Unleash%20the%20Possibilities%20of%20AI%209edd68260d9645b0bb1b6e0dde1eccf0/3rd_chatgpt_question.gif)

**Example 4**

Let’s ask ChatGPT to write a code!

![4th chatgpt question.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/Unleash%20the%20Possibilities%20of%20AI%209edd68260d9645b0bb1b6e0dde1eccf0/4th_chatgpt_question.gif)

## So, that's the wrap up, y'all

AI and Machine Learning are changing the way we live and work, and we need to make sure we're using them for good.


https://raw.githubusercontent.com/0xmetaschool/Learning-Projects/main/Build%20a%20YeBot%20with%20OpenAI%20API/1.%20Ready%2C%20Set%2C%20Build!/2.%20Unleash%20the%20Possibilities%20of%20AI.md

Unleash the Possibilities of AI

Ready, Set, Build!

Get an overview of what is OpenAI, how does the OpenAI API works, and how can you use OpenAI Playground.

<p>Hey fam, here in this lesson, we're gonna talk about OpenAI and its GPT models. This is some next-level tech, fam, and it's gonna blow your mind!</p><h2><strong>What is OpenAI?</strong></h2><p>OpenAI is an artificial intelligence research lab that aims to create safe and beneficial AI. It was founded in 2015 by tech legends like Elon Musk, Sam Altman, and Greg Brockman. OpenAI is all about making AI accessible to everyone by conducting cutting-edge research and developing sweet tools and platforms.</p><h2><strong>What GPT Models?</strong></h2><p>First things first, let's talk about what GPT actually means. It stands for "Generative Pre-trained Transformer" – yeah, it's a mouthful, I know – but what it means is that these models are trained on massive amounts of data, and then they can generate their own text based on that data. Crazy, right?</p><p>And OpenAI's GPT models are the cream of the crop, the top of the top. We're talking about some serious power here, folks. These models can do things like generate realistic-sounding text, answer questions, and even write entire articles.</p><div class="se-component se-image-container __se__float-center" contenteditable="false"><figure style="margin: auto; width: 138px;"><img 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" alt="" data-rotate="0" data-proportion="true" data-align="center" data-size="138px,138px" data-file-name="open-ai-logo-8B9BFEDC26-seeklogo.com.png" data-file-size="8085" data-origin="150px,150px" origin-size="296,300" style="width: 138px; height: 138px; transform: rotate(0deg);" data-index="0"><figcaption style="margin-top: 0px;"><div>&nbsp; &nbsp; OpenAI Logo</div></figcaption></figure></div><p>But it's not just about raw power – it's about what you can do with it. And that's where the creativity comes in. With OpenAI's GPT models, you can create all kinds of things, from chatbots to creative writing to AI-powered music. The possibilities are endless.</p><h2>So how does it work?</h2><p>Basically, OpenAI’s API provides pre-trained GPT AI models that you can fine-tune to do specific tasks. These models have been trained on massive amounts of data and can generate responses that sound like they're straight outta a human brain. And the GPT architecture is especially good at generating natural language responses, so you can create some seriously dope applications.</p><h2>So let’s wrap up?</h2><p>As we dive deeper into OpenAI's GPT models, let's keep in mind the responsibility that comes with this kind of power. We have the opportunity to create some truly amazing things, but we need to do it in a way that's ethical and responsible.</p><p>Are you ready to unleash the power of OpenAI's GPT models and create something truly epic? Let's do this, fam!</p><p><br></p>

# Level Up Your AI knowledge

Hey fam, here in this lesson, we're gonna talk about OpenAI and its GPT models. This is some next-level tech, fam, and it's gonna blow your mind!

## What's the deal with OpenAI?

- OpenAI is a tech lab that's all about creating super smart and safe AI.
- It was founded by some of the biggest tech legends, like Elon Musk, Sam Altman, and Greg Brockman.
- Basically, OpenAI is on a mission to make AI more accessible for everyone, so they're always developing new tools and platforms.

Before talking about the OpenAI API, let’s first learn what API is.

## Let’s first learn what is API

Let me break it down for ya.

- An API (Application Programming Interface) is like the go-to guy that lets different software apps chat with each other.
- It's like a translator that makes sure they're all on the same page and sharing info like besties.
- One app sends a request to the API, who then forwards it to the other app. The other app does its thing and sends a response back to the API, who then sends it back to the original app.

So yeah, an API is basically the middleman that helps software apps play nice with each other. Pretty cool, huh?

## Now, let's talk about OpenAI API

- OpenAI API is a powerful tool that lets developers tap into OpenAI's latest and greatest AI models.
- It's perfect for adding cool AI features to your apps and services without having to start from scratch.
- With OpenAI API, developers can easily add natural language processing (NLP) and other AI capabilities to their apps.

## How does OpenAI API actually work?

- OpenAI API is a cloud-based service, which means you can access it from pretty much anywhere with an internet connection.
- To get started, you just need to sign up for an API key and boom, you're in.
- From there, you can use the API to send requests to the models, which will process your input and send back the results. It's like having an AI wizard at your fingertips!

> **Don’t Worry!** We will dive deep into OpenAI API in few minutes and learn how can we fetch the API key, use it to run OpenAI API code. Let’s just focus on getting the hang of OpenAI API.
>

Now, let’s learn what are GPT models in OpenAI.

## What are GPT Models?

OpenAI have developed vast range of models those can perform different task. One of those models is GPT. It stands for "Generative Pre-trained Transformer" – yeah, it's a mouthful, I know – but what it means is that these models are trained on massive amounts of data, and then they can generate their own text based on that data. Crazy, right? These models can do things like generate realistic-sounding text, answer questions, and even write entire articles.

But it's not just about raw power – it's about what you can do with it. And that's where the creativity comes in. With OpenAI's GPT models, you can create all kinds of things, from chatbots to creative writing to AI-powered music. The possibilities are endless.

## So how can you create dope things using GPT models?

Basically, OpenAI’s API provides pre-trained GPT AI models that you can fine-tune to do specific tasks. These models have been trained on massive amounts of data and can generate responses that sound like they're straight outta a human brain. The GPT architecture is especially good at generating natural language responses, so you can create some seriously dope applications.

## Get the hang of GPT versions

OpenAI has been crushing it with their GPT models, which are some of the most advanced language models ever created. Check out these dope versions:

1. GPT-3
2. GPT-3.5
3. GPT-4

### OpenAI GPT-3 model

- This bad boy has 175 billion parameters, making it one of the biggest language models out there.
- GPT-3 was trained on a ton of data, like books, articles, and web pages, so it knows what's up.
- It can generate human-like text and do all sorts of cool natural language processing tasks.
- ChatGPT uses GPT-3 to spit out some of the slickest responses you've ever seen.

### OpenAI GPT-3.5 model

- With 6.7 billion parameters, GPT-3.5 is bigger than its predecessor GPT-2, but smaller than GPT-3.
- Its size makes it faster to train and easier to fine-tune, so it's perfect for specific use cases like text classification or language generation.

### OpenAI GPT-4 model

- The latest addition to the GPT family, GPT-4 isn't fully available to the public yet, but smaller versions are out there.
- Rumor has it that it's gonna have up to 10 trillion parameters, which is seriously mind-blowing.
- Its language generation is supposed to be even better than GPT-3, with text that sounds more natural and coherent. I can't wait to see what this thing can do!

Before writing our first program using Python and OpenAI API, let's quickly go over what an API key is and how can you generate it to access OpenAI API.

## What is the big deal about API key

An API key is a unique identifier that allows you to access an API. OpenAI is an AI research lab that provides powerful APIs for developers to use in their applications. In order to use OpenAI APIs, you need to generate an API key.

API Key is the combination of different random characters. Here’s an example of how API key looks like:

```

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
```

## Steps to generate an API key
Now, to get started:

1. You gotta create an account on the [OpenAI website](https://platform.openai.com/).
2. Click on your profile and then click on Manage account then click on Billing.
3. Upgrade to a paid account. It's just a dollar a day, You can cancel whenever you want (Individual paid account). Without paid account you won't be able to fetch the API key from OpenAI.

![setup](https://user-images.githubusercontent.com/129931419/231669725-4ecb2038-f34a-4068-ba77-d3b2c3bd9aad.gif)

Generating an API key for OpenAI is a straightforward process. Here are the steps:

1. Login to your [OpenAI](https://platform.openai.com/) account.
2. Navigate to the API Keys section. You can find it by clicking on your profile icon on the top right corner of the screen and selecting "API Keys" from the drop-down menu.
3. Click on the "Generate New API Key" button and follow the instructions. Make sure to keep your API key safe and secure as it grants access to your OpenAI account.

![api key generation.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Level%20Up%20Your%20AI%20knowledge%20befc6d8ff9634a49877abcf475e779e8/api_key_generation.gif)

## Quickstart OpenAI API

Let’s experiment will all the knowledge we have gained so far! Let’s write a simple Python program that will use OpenAI API to generate some text.

### Installation

To install the OpenAI API for Python, run the following command in your terminal:

```
pip install openai
```

If you have Python3 installed, run the following command:

```
pip3 install openai
```

Let’s look at this step happening visually:

![python code 1.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Level%20Up%20Your%20AI%20knowledge%20befc6d8ff9634a49877abcf475e779e8/python_code_1.gif)

### Code

Let’s write a simple python code that will take prompt and generate the response using GPT-3 model. Don’t forget to replace the api key with your key.

```
import openai

# Set up your API key
openai.api_key = "Your API Key"

# Set up the prompt and parameters
prompt = "What is the meaning of life?"
model = "text-davinci-002"
temperature = 0.7
max_tokens = 100

# Generate text using OpenAI's GPT-3
response = openai.Completion.create(
  engine=model,
  prompt=prompt,
  temperature=temperature, 
  max_tokens=max_tokens
)

# Print the generated text
print(response.choices[0].text.strip())
```

### Explanation

Let’s break down the code line-by-line and understand what is happening here.

```
import openai
```

- Here we are importing the necessary package and module: `openai`.

```
# Set up your API key
openai.api_key = "Your API Key"
```

- We set up the API key for OpenAI by assigning it to the `api_key` attribute of the `openai` module.

```
# Set up the prompt and parameters
prompt = "What is the meaning of life?"
model = "text-davinci-002"
temperature = 0.7
max_tokens = 100
```

- Here we are defining the prompt and model parameters for the OpenAI GPT-3 API. Let’s learn what they do one-by-one:
    - `prompt` is the starting text used to generate the response.
    - `model` is the type of model used to generate the response.
    - `temperature` is a value used to control the randomness of the response.
    - `max_tokens` is the maximum number of tokens the response can have.

```
# Generate text using OpenAI's GPT-3
response = openai.Completion.create(
  engine=model,
  prompt=prompt,
  temperature=temperature,
  max_tokens=max_tokens
)
```

- Now we are using the `openai.Completion.create()` method to generate text using the OpenAI GPT-3 API.
- Passing the previously defined `model`, `prompt`, `temperature`, and `max_tokens` parameters to the **`create()` method.

```
# Print the generated text
print(response.choices[0].text.strip())
```

- Lastly, we are printing the generated text by accessing the `text` attribute of the first (and only) item in the `choices` list of the `response` object.
- The `strip()` method is used to remove any leading or trailing whitespace from the generated text before printing it to the console.

### Output

Now, we’re done with the explanation. Let’s look at what I got after running the code. PS: You might get different answer because each time we run the model it generates different answer.

![python code run.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Level%20Up%20Your%20AI%20knowledge%20befc6d8ff9634a49877abcf475e779e8/python_code_run.gif)

## So let’s wrap up?

As we dive deeper into OpenAI's GPT models, let's keep in mind the responsibility that comes with this kind of power. We have the opportunity to create some truly amazing things, but we need to do it in a way that's ethical and responsible.

## Appendix

You can head over to [OpenAI models documentation website](https://platform.openai.com/docs/models/overview) and learn more about OpenAI Models.


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Level Up Your AI Knowledge

<p>Yo, yo, yo, listen up! It's time to step up your game with OpenAI API and engineer your prompts like a true pro. In this lesson, we'll break down the importance of prompt engineering and how to use it effectively.</p><h2>What is Prompt Engineering?</h2><p>Prompt Engineering is like the foundation of a dope beat. It's the process of creating a well-structured prompt that clearly communicates the task to OpenAI API. It's essential to understand how prompt engineering works to create accurate and useful applications.</p><h2>Prompt Structure</h2><p>Ain't no point in using OpenAI Playground if you ain't gonna get relevant and useful output, right? So, let's get into some tips on how to write a dope prompt that gets the job done.</p><p><strong>Tip #1: Keep it Simple</strong><br>Listen up, when you're just starting out with OpenAI Playground, keep it simple, y'all. Don't try to get too fancy with your prompts. Start with basic questions like "What's the weather like today?" or "Tell me a joke." This way, you can get the hang of the Playground without overwhelming yourself.</p><p><strong>Tip #2: Be Specific</strong><br>If you want relevant output, you gotta be specific, y'all. Don't be afraid to give details and context in your prompts. Instead of just asking for a recipe, ask for a vegan lasagna recipe. The more specific you are, the better the chances of getting what you want.</p><p><strong>Tip #3: Provide Examples</strong><br>Sometimes, y'all need to give examples to get the output you want. For example, if you want a product description for a new item, give some examples of similar products or descriptions that you like. This will help the model understand what you're looking for and generate a better output.</p><p><strong>Tip #4: Experiment with Settings</strong><br>OpenAI Playground got some dope settings, so you might as well experiment with them, right? Adjust the "Max Tokens" setting to get longer or shorter responses. Play with the "Temperature" setting to control the creativity of the output. Try different settings to find what works best for you, homie.</p><h2>Why is Prompt Engineering important?</h2><p>If you want to create applications that generate accurate and useful output, prompt engineering is essential. By understanding how to structure prompts and engineer them effectively, you can take your AI-powered applications to the next level.</p><p>Let's take a look at some cool examples of well-engineered prompts:</p><p><strong>Example 1 - Poor Prompt Engineering:</strong><br>Prompt: "horror story"</p><p>Example 1 - Effective Prompt Engineering:<br>Prompt: "Write a short horror story about a haunted house located on the corner of 13th Street and Elmwood Avenue. The family who moved into the house is experiencing strange occurrences like doors opening and closing on their own, and hearing strange noises at night. They woke up one day to find blood dripping from the walls. Please generate a story of about 250 words in length."</p><p><strong>Example 2 - Poor Prompt Engineering:</strong><br>Prompt: "cat name"</p><p>Example 2 - Effective Prompt Engineering:<br>Prompt: "Create a unique cat name based on the following characteristics: black and white, playful, loves to cuddle. Please provide a single name that is less than 12 characters in length."</p><p><strong>Example 3 - Poor Prompt Engineering:</strong><br>Prompt: "movie review"</p><p>Example 3 - Effective Prompt Engineering:<br>Prompt: "Write a 200-word review of the movie 'The Matrix Resurrections.' Discuss the plot, characters, and overall themes of the movie. Please include your overall rating on a scale of 1-10."</p><h2>And that’s a wrap up!</h2><p>Alright, You're now equipped with the knowledge to engineer your prompts like a pro in OpenAI API. By using well-structured prompts, you can create amazing AI-powered applications that generate accurate and useful output. So, let's get started and engineer some sick prompts!</p><p><br></p>

# Master the Art of Engineering Your Prompts

Yo, yo, yo, listen up! It's time to step up your game with OpenAI API and engineer your prompts like a true pro. In this lesson, we'll break down the importance of prompt engineering and how to use it effectively.

## What is Prompt Engineering?

Prompt Engineering is like the foundation of a dope beat. It's the process of creating a well-structured prompt that clearly communicates the task to OpenAI API. It's essential to understand how prompt engineering works to create accurate and useful applications.

## Prompt Structure

Ain't no point in using OpenAI Playground if you ain't gonna get relevant and useful output, right? So, let's get into some tips on how to write a dope prompt that gets the job done.

- Keep it simple when starting out with OpenAI Playground.
- Don't get too fancy with your prompts.
- Ask basic questions like "What's the weather like today?" or "Tell me a joke."
- Be specific to get relevant output.
- Give details and context in your prompts.
- Ask for a vegan lasagna recipe instead of just asking for a recipe.
- Provide examples to get the output you want.
- Give examples of similar products or descriptions that you like.
- Experiment with the settings in OpenAI Playground.
- Adjust the "Max Tokens" setting to get longer or shorter responses.
- Play with the "Temperature" setting to control the creativity of the output.
- Try different settings to find what works best for you.

## Why is Prompt Engineering important?

If you want to create applications that generate accurate and useful output, prompt engineering is essential. By understanding how to structure prompts and engineer them effectively, you can take your AI-powered applications to the next level.

## Examples

Did you experiment with ChatGPT, as we asked in last assignment? Let’s head over to chatGPT again and experiment with poor and effective prompt engineering.

### Example 1 - Poor Prompt Engineering

**Prompt**: "horror story"

**Output:**

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Master%20the%20Art%20of%20Engineering%20Your%20Prompts%20238b5b7b38394f08b59232e93ec50047/Untitled.png)

### Example 1 - Effective Prompt Engineering

**Prompt:** "Write a short horror story about a haunted house located on the corner of 13th Street and Elmwood Avenue. The family who moved into the house is experiencing strange occurrences like doors opening and closing on their own, and hearing strange noises at night. They woke up one day to find blood dripping from the walls. Please generate a story of about 100 words in length."

**Output:** 

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Master%20the%20Art%20of%20Engineering%20Your%20Prompts%20238b5b7b38394f08b59232e93ec50047/Untitled%201.png)

### Example 2 - Poor Prompt Engineering:

**Prompt:** "cat name"

**Output:**

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Master%20the%20Art%20of%20Engineering%20Your%20Prompts%20238b5b7b38394f08b59232e93ec50047/Untitled%202.png)

### Example 2 - Effective Prompt Engineering:

**Prompt:** "Create a unique cat name based on the following characteristics: black and white, playful, loves to cuddle. Please provide a single name that is less than 12 characters in length."

**Output:**

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Master%20the%20Art%20of%20Engineering%20Your%20Prompts%20238b5b7b38394f08b59232e93ec50047/Untitled%203.png)

Did you observe how the answer of each prompt changed after we gave the detailed and effective prompt?

## And that’s a wrap!

Alright, You're now equipped with the knowledge to engineer your prompts like a pro in OpenAI API. By using well-structured prompts, you can create amazing AI-powered applications that generate accurate and useful output. So, let's get started and engineer some sick prompts!


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Master the Art of Engineering Your Prompts

# Let’s Play with OpenAI Playground Like a Pro

Yo, let's talk about the OpenAI Playground, fam.

## What is OpenAI Playground?

It's a dope web-based interface that lets you experiment with OpenAI's latest language models without the need for coding, you feel me? It's designed to be easy and fun to use, so anyone can get into AI, no matter what their skills are.

## So, how does it work?

You enter text prompts, and the AI models generate new text based on them. There are different models to choose from, each with unique features and capabilities. That's what makes it so versatile.

You can use the Playground for all kinds of things, like creative writing, content creation, language learning, and even creating chatbots and virtual assistants. It's wild, right?

## Let’s get started

Now, to get started:

- Login to your [OpenAI](https://platform.openai.com/) account.
- If you haven’t bought the paid account so far, you can do it now!
- Then head over to the [Playground](https://platform.openai.com/playground) and let your creativity run wild.

Let’s look at the following animation on how you can perform the above given steps.

![set up account.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Let%E2%80%99s%20Play%20with%20OpenAI%20Playground%20Like%20a%20Pro%20fc41a1e6d133410d9a32e441cbd8b38d/set_up_account.gif)

There are a few basic settings you gotta know about, like the prompt, model, temperature, and max tokens. But once you get the hang of it, you can use the Playground to generate all kinds of crazy stuff.

## Play with OpenAI Playground

And here's the best part: you can even make the Playground act like Kanye West. Just try out some of these prompts and see what comes out:

### Prompt #1

Reply as Kanye's style: "Hi, you are so kind and beautiful." 

**Output** 

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Let%E2%80%99s%20Play%20with%20OpenAI%20Playground%20Like%20a%20Pro%20fc41a1e6d133410d9a32e441cbd8b38d/Untitled.png)

### Prompt #2

Reply as Kanye West: "What would you do if you come to Pakistan?" 

**Output** 

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Let%E2%80%99s%20Play%20with%20OpenAI%20Playground%20Like%20a%20Pro%20fc41a1e6d133410d9a32e441cbd8b38d/Untitled%201.png)

### Prompt #3

Reply as Kanye West: "What is your favorite food?" 

**Output** 

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Let%E2%80%99s%20Play%20with%20OpenAI%20Playground%20Like%20a%20Pro%20fc41a1e6d133410d9a32e441cbd8b38d/Untitled%202.png)

### Prompt #4

Reply as Kanye West: "I recently had a breakup. Advise me. What should I do?" 

**Output** 

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/2.%20WTH%20is%20OpenAI/Let%E2%80%99s%20Play%20with%20OpenAI%20Playground%20Like%20a%20Pro%20fc41a1e6d133410d9a32e441cbd8b38d/Untitled%203.png)

### What are your thoughts?

The Playground generated short one line answers, where the answers were to the point. For each response we asked the Playground to act like Kanye West, but each response was general, as if a robot is answering my questions, not Kanye.

Let’s learn what are the limitations of Playground, that makes it not generate the effective answers.

## Limitations of Playground

- **Limited models**: So first off, there's only a few language models you can mess with in the Playground. You're not gonna get access to everything OpenAI's got.
- **Not so many features**: Compared to the API, the Playground is a little limited. You can only type in prompts and get responses, whereas the API has a bunch of extra features like fine-tuning and training the models for specific tasks. So if you want to take your skills to the next level, you gotta upgrade, ya feel me?
- **Limited control**: When it comes to tweaking the model settings, you're kinda stuck with the basics like temperature, max tokens, and frequency penalty. If you're looking for more customization, you gotta use the API or some other tool.
- **Usage limits**: Oh, and one more thing – there's a limit on how much you can use the Playground in an hour. So if you're using it a lot, keep that in mind, my dude.
- **Cannot train model:** Playground interface doesn’t allow us to train the models to our specific needs.

## Why we need to train our models using prompts

As the Playground is not effective, this is where code and prompts come in!

Prompts are the key to training a dope model. With code and prompts, you can give GPT specific cues on how to respond to certain inputs. This means you can get way more effective and predictable responses from your model.

In the next chapter, we will use code and prompts to train our model. We will train our model such that it will act like Kanye and give us the dope answers.


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Let’s Play With OpenAI Playground Like a Pro

WTH is OpenAI?

Build an AI bot from scratch using OpenAI API, MindsDB, NextJS, and Flask.

# Building the YeBot!

Now, let’s dive into the dope world of the YeAI Bot Project. This project is all about creating a Kanye West AI bot that can chat with you and answer your questions in Kanye West style. It's gonna be a blast!

### Key Features of YeBot

Check out some of the key features of the YeAI Bot Project:

- Understanding natural language input so you can talk to it like a real person.
- Improving accuracy of responses through machine learning-based training using prompts.
- Use of the amazing openAI GPT-4 model to generate responses that sound real.
- Personalizing responses based on your interactions and data, so it feels like you're chatting with a real Kanye West.
- Integrate the model with NextJS and run the server using Flask.

## Let's Get It Started: Code & Prompts

We’ll be using code and prompts to build our YeBot. As we have learned in previous lessons that how effective the prompts are, we will use them to train our model and build the dope shit!

To train our model, we'll use MindsDB Cloud and the OpenAI engine. By setting up our development environment and using an OpenAI API key we have already generated.

**Don’t Worry**! We will explain everything one-by-one. So, let’s buckle up to learn and build!

## Setup your development environment

First things first! Let’s setup our development environment and learn what the hell is MindsDB.

## What is MindsDB?

Now, if you ain't heard of MindsDB, let me put you on. It's an open-source tool that makes it easy for anyone to create and train machine learning models. You can use it to build all sorts of AI bots, from chatbots to recommendation systems.

## Why MindsDB for YeAI development, you ask?

- MindsDB is perfect for Kanye AI bot development 'cause' we can code in MindsDB and it's super easy to use, even if you're not a data scientist or a machine learning whiz.
- We can use as many models as we can in MindsDB. You want to use GPT-3? You want to use GPT-4? You got all of this!
- In MindsDB, we have full control, we can use as many features as we can.
- There’s no limit in MindsDB, you can use it for as long as you want to use it.
- Above all, we can easily train our model using prompts!

## Setting up the Development Environment on MindsDB Cloud

Here's how to set up the development environment on MindsDB Cloud:

- **Step 1:** Sign up for an account on [MindsDB Cloud](https://cloud.mindsdb.com/login?utm_medium=referral&utm_source=medium&utm_campaign=twitter-chatbot-tutorial-2023-03).
- **Step 2:** Go to [https://cloud.mindsdb.com/editor](https://cloud.mindsdb.com/editor).

MindsDB editor looks like this: 

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Building%20the%20YeBot!%203dd9862e53234b329875e7c69ae64c11/Untitled.png)

Now that we have setup the MindsDB, we will learn how to run our model in MindsDB in the next lesson.

Get ready for some serious fun with this project, y'all!


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Building the YeBot!

# Create a Simple GPT-4 Model

Yo, listen up, we're about to create a simple GPT-4 model on MindsDB. 

## Create simple GPT-4 model

It's easy, just head to MindsDB editor and enter this code in the editor:

```
CREATE MODEL mindsdb.gpt_bot
PREDICT response
USING
engine = 'openai',
max_tokens = 300,
-- api_key = '**your openai key**',
model_name = 'gpt-4',
prompt_template = 'respond to {{text}} by {{author_username}}'
```

Replace the API key with your key and try running the code and view the output.

### Explanation

Now let us explain the code line by line:

- `CREATE MODEL mindsdb.gpt_bot`: This line sets up a new MindsDB model called `gpt_bot`.
- `PREDICT response`: This line tells the model that we want it to predict a response based on a prompt.
- `USING engine = 'openai'`: This line specifies that we're using the OpenAI engine for the model.
- `api_key = 'your openai key'`: This line gives the model access to OpenAI APIs using your API key.
- `model_name = 'gpt-4'`: This line tells the model to use the GPT-4 architecture for predictions.
- `prompt_template = 'respond to {{text}} by {{author_username}}'`: This line specifies the format of the prompt we want to provide to the model. In this case, we want it to respond to a certain text by a particular author.

### Output

Let’s look at what is the output of the above code.

![Running Simple GPT-4 Model.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20Simple%20GPT-4%20Model%20492b4760fb32466a8d50a15230f651c9/Running_Simple_GPT-4_Model.gif)

## Generate response

Now that we've created the model, let's generate some responses using it. Open a new MindsDB tab and run this code:

```
SELECT response from mindsdb.gpt_bot
WHERE author_username = "someuser"
AND text="Hi, how are you?";
```

Just replace "Hi, how are you?" with your own prompt and run the code.

## Output

Let’s look at what is the output of the above code.

![Running simple GPT-4 model generation code.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20Simple%20GPT-4%20Model%20492b4760fb32466a8d50a15230f651c9/Running_simple_GPT-4_model_generation_code.gif)


https://raw.githubusercontent.com/0xmetaschool/Learning-Projects/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20Simple%20GPT-4%20Model.md

Create a Simple GPT-4 Model

# Create a GPT-4 Model Straight Outta Yeezy's Playbook

Yo, check it out! The last model didn't do it for us, but we ain't giving up. We got something better, alright? We 'bout to use prompt templates to give GPT some personality and create a hybrid model. That's how we do it!

## Make a Kanye West chat model

Let's create a fresh model named `mindsdb.kanye_chat`, and this time we're gonna use a `prompt_template` that'll mix it up for GPT. It's gonna be dope. Run this code in the editor:

```
CREATE MODEL mindsdb.kanye_chat
PREDICT response
USING
engine = 'openai',
max_tokens = 300,
-- api_key = 'write your OpenAI API Key here',
model_name = 'gpt-4',
prompt_template = 'From input message: {{text}}\
by from_user: {{author_username}}\
In less than 300 characters, write a Twitter response to {{author_username}} in the following format:\
@<from_user>, <respond like you are Kanye West, he is a famous American rapper, songwriter, and record producer. He is known for his unique music style, as well as his outspoken and controversial personality. Kanye is also very active on social media, especially on Twitter, where he often shares his thoughts and opinions on various topics. Kayne west may use strong and offensive language.
Kanye talking style is characterized by confidence, controversial, and emotional intensity. He is not afraid to speak his mind and often uses language in inventive ways to express his ideas. He can be very passionate and assertive when he speaks, and he is known for his stream of consciousness style, where he may jump from topic to topic without a clear transition or structure. Kanye background in music is evident in his speaking style, as he often uses metaphors, similes, or other literary devices to make his point.
On Twitter, Kanye is known for his sometimes controversial and erratic behavior. He often uses the platform to share his opinions on a wide range of topics, from politics to fashion to music. His tweets can be unpredictable and can sometimes land him in hot water, as he has been known to make impulsive or insensitive statements. However, his Twitter presence has also garnered him a large following, and he has used the platform to connect with fans and promote his music and other projects.'
```

### Explanation

Homies, let’s break this code down:

- The code creates a machine learning model called `mindsdb.kanye_chat`.
- The model is designed to predict a response to a given input message.
- The model uses the OpenAI engine and the GPT-4 language model.
- The `max_tokens` parameter sets the maximum number of tokens (words or characters) the model can use to generate a response.
- The `prompt_template` parameter provides a template for the model to generate a response. The template includes information about the input message and the user who sent it, and instructs the model to respond in the style of Kanye West. ***ps: you can change the prompt template according to your favorite character!***
- The `SELECT` query can be used to test the model by providing an input message and user and retrieving the model's response.

### Output

Run this model in mindsDB and see the output.

![Running KanyeGPT model.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20GPT-4%20Model%20Straight%20Outta%20Yeezy's%20Playbo%2048e3fb560d5c48fdba4bc161dfcce32e/Running_KanyeGPT_model.gif)

## Test the model

Test the model using following query:

```
SELECT response from mindsdb.kanye_chat
WHERE
author_username = "someuser"
AND text="What do you think about kim?";
```

This is a SQL query that selects the response from the `mindsdb.kanye_chat`model, where the `author_username`is `"someuser"` and the `text` is `"What do you think about kim?"`. This query is used to test the `mindsdb.kanye_chat` model and see how it responds to this specific input.

### Output

![Running KanyeBot model generation code.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20GPT-4%20Model%20Straight%20Outta%20Yeezy's%20Playbo%2048e3fb560d5c48fdba4bc161dfcce32e/Running_KanyeBot_model_generation_code.gif)

🎉 You did it! You made Kanye chat, yo!


https://raw.githubusercontent.com/0xmetaschool/Learning-Projects/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20GPT-4%20Model%20Straight%20Outta%20Yeezy's%20Playbook.md

Create a GPT-4 Model Straight Outta Yeezy's Playbook

# Connect this Yeezy to a NextJS app

Yo, listen up! We 'bout to make some moves and get connected to NextJS App using Python Flask. 

## What is NextJS?

Next.js is a super cool framework for building web apps, and it's perfect for building dope projects like a Kanye West AI bot using OpenAI API. Let me break it down for you real quick:

- Next.js is a React-based framework for building web applications.
- It's a server-side rendering framework, which means it can generate HTML on the server before it's sent to the client.
- It uses automatic code splitting and lazy loading, which means your app loads faster and is more performant.
- It has built-in support for SEO optimization, so your app can be easily discovered by search engines.
- It's flexible and customizable, so you can build your app exactly the way you want it.

## So, why use Next.js for building a YeAI bot?

Here are a few reasons:

- It's perfect for building complex apps that require dynamic data and frequent updates, like our YeAI bot that's constantly learning and evolving.
- It's super fast and efficient, which is important when you're dealing with large amounts of data and processing power, which our GPT model will be using to give us responses.
- It's easy to use and has a ton of awesome features that will make building your AI bot a breeze.
- It's super fun and exciting to work with, especially when you're building something as cool as a Kanye West AI bot!

> **Note:** If you have not installed NodeJs in your system, head over to [https://nodejs.org/en/download](https://nodejs.org/en/download) and install it.
> 

Let’s get started and build dope stuff!

## Create a NextJS app for the frontend

First, we will now create a NextJS frontend, run this command in your terminal to create your NextJS app.

```jsx
npx create-next-app kanye-ai
```

 Use arrow button from your keyboard to select appropriate option.

- Select **No** for: Would you like to use TypeScript with this project?
- Select **No** for: Would you like to use ESLint with this project?
- Select **No** for: Would you like to use Tailwind CSS with this project?
- Select **Yes** for: Would you like to use `src/` directory with this project?
- Select **No** for: Would you like to use experimental `app/` directory with this project?
- Select **No** for: Would you like to use experimental `app/` directory with this project?
- Press Enter: What import alias would you like configured?

Let’s see this happening live.

![run nps command.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Connect%20this%20Yeezy%20to%20a%20NextJS%20app%2080b6a5a75f174da0bfa594412d04afc6/run_nps_command.gif)

### Files structure

After creating the app, open VS code using the command `code .` The file structure will look like this:

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Connect%20this%20Yeezy%20to%20a%20NextJS%20app%2080b6a5a75f174da0bfa594412d04afc6/Untitled.png)

### Install axios first

Before moving forward, let’s run the following command in your terminal to install `axios` library:

```
npm install axios
```

## Code

Now replace the index.js under `kanye-ai/src/pages/index.js` with this code:

```
import React, { useState } from "react";
import Head from "next/head";
import axios from "axios";

function iMessage() {
  const [userInput, setUserInput] = useState("");
  const [messages, setMessages] = useState([]);
  const [kanyeTyping, setKanyeTyping] = useState(false);

  const handleChange = (event) => {
    setUserInput(event.target.value);
  };
  console.log(messages)
  const handleSubmit = async (event) => {
    event.preventDefault();
    const newMessage = { user: true, text: userInput };
    setMessages([...messages, newMessage, { user: false, text: "loading" }]);
    setKanyeTyping(true);
    axios.post('http://localhost:8080/bot', {
        message: userInput
    }, {
        headers: {
            'Content-Type': 'application/json',
        },
        withCredentials: true
    }).then((response) => {
        console.log(response);
        // Update messages and setKanyeTyping to false when you receive the response
        const botResponse = { user: false, text: response.data.results[0].response };
        setMessages([...messages, newMessage, botResponse]);
        setKanyeTyping(false);
    }).catch((error) => {
        console.error(error);
        // Update messages and setKanyeTyping to false when you receive an error
        const botResponse = { user: false, text: "Oops! Something went wrong." };
        setMessages([...messages, newMessage, botResponse]);
        setKanyeTyping(false);
    });
    setUserInput("");
    setKanyeTyping(true);
  };
  

  return (
    <>
        <Head>
            <title>
                Kanye West Chatbot - Metaschool
            </title>
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css" />
        </Head>
        <div className="chat-container">
            <div className="header">                
                <i className="fa fa-chevron-left back-button"></i>
                <div className="contact-info">
                    <img
                        className="profile-image"
                        src="https://imageio.forbes.com/specials-images/imageserve/5ed00f17d4a99d0006d2e738/0x0.jpg?format=jpg&crop=4666,4663,x154,y651,safe&height=416&width=416&fit=bounds"
                        alt="Profile"
                    />
                    <h2 className="name">YeGPT</h2>
                </div>
                <i className="fa fa-video-camera video-icon"></i>
            </div>
            <div className="chat-window">
                <p className="chat-bot-header">Powered by <a className="ref-link" href="http://metaschool.so/" target="_blank" rel="noopener noreferrer">metaschool 🔮</a></p>
                {messages.map((message, index) => (
                    <div key={index} className="message-container">
                        {message.user ? (
                        <>
                            <div className="user-message message">
                                <div className="message-text">{message.text}</div>
                            </div>
                            <img
                                className="profile-image user-image"
                                src={'https://upload.wikimedia.org/wikipedia/commons/thumb/5/59/User-avatar.svg/2048px-User-avatar.svg.png'}
                                alt="User Profile"
                            />
                        </>
                        ) : (
                        <>
                            <img
                                className="profile-image bot-image"
                                src='https://imageio.forbes.com/specials-images/imageserve/5ed00f17d4a99d0006d2e738/0x0.jpg?format=jpg&crop=4666,4663,x154,y651,safe&height=416&width=416&fit=bounds'
                                alt="Bot Profile"
                            />
                            {message.text === 'loading' ? <img className="typing-bubble" src='https://media3.giphy.com/media/v1.Y2lkPTc5MGI3NjExODg3ZjFlNzQ1Mzc1ZTFlNTMyZTVjODIzMDYyODUwNDQ0ZDY3ZmU5YyZjdD1z/3tLfKrc4pLWiTkAAph/giphy.gif' /> : <div className="bot-message message">
                                <div className="message-text">{message.text}</div>
                            </div>}
                        </>
                        )}
                    </div>
                ))}
            </div>
            <form className="form" onSubmit={handleSubmit}>
                <input
                    type="text"
                    placeholder="Type your message here..."
                    value={userInput}
                    onChange={handleChange}
                    disabled={kanyeTyping}
                />
                <button type="submit">
                    <i className="fa fa-paper-plane" aria-hidden="true"></i>
                </button>
            </form>
        </div>
    </>
  );
}

export default iMessage;
```

### Explanation

Here's a breakdown of the key elements in the code:

1. `import React, { useState } from "react";`: This line imports the necessary modules from React, including the `useState` hook, which allows the component to manage its state.
2. `const [userInput, setUserInput] = useState("");`: This line declares a state variable `userInput` and a function `setUserInput` to update its value using the `useState` hook. The initial value of `userInput` is set to an empty string.
3. `const [messages, setMessages] = useState([]);`: This line declares a state variable `messages` and a function `setMessages` to update its value using the `useState` hook. The initial value of `messages` is set to an empty array.
4. `const [kanyeTyping, setKanyeTyping] = useState(false);`: This line declares a state variable `kanyeTyping` and a function `setKanyeTyping` to update its value using the `useState` hook. The initial value of `kanyeTyping` is set to `false`.
5. `const handleChange = (event) => { ... }`: This is an event handler function that is called when the value of the input field changes. It uses `setUserInput` to update the value of `userInput` state variable with the new value of the input field.
6. `const handleSubmit = async (event) => { ... }`: This is an event handler function that is called when the form is submitted. It prevents the default form submission behavior, sends a request to the backend API using `axios.post` to interact with the chatbot, and updates the `messages` state variable with the response from the backend API.
7. The `return` statement renders the UI of the chat window using JSX (JavaScript XML) syntax, which is a syntax extension for writing XML-like code in JavaScript. It includes HTML elements, CSS classes, and dynamic values from the state variables `userInput`, `messages`, and `kanyeTyping` to display the chatbot conversation interface.
8. The component is exported as the default export at the end of the code, which allows it to be imported and used in other parts of the application.

## Add stylesheet to your NextJS app

Now, let’s add stylesheet to our NextJS app, replace this code with your `globals.css` code under `kanye-ai/src/style/globals.css`

```
/* chatbot */
.chat-bot-header{
  font-size: 16px;
  text-align: center;
  font-weight: 500;
  font-family: 'Source Sans Pro', sans-serif;
  color: #6e6f70;
  margin-top: 2px !important;
  margin-bottom: 2px Im !important;
}

.chat-container {
  width: 100%;
  max-width: 600px;
  margin: 0 auto;
  display: flex;
  flex-direction: column;
  justify-content: space-between;
  height: 80vh;
  margin-top: 50px;
  border: 2px solid black;
  border-radius: 20px;
}

.chat-window {
  background-color: #f5f5f5;
  border-radius: 10px;
  padding: 10px;
  height: 70vh;
  overflow-y: scroll;
}

.message-container {
  display: flex;
  flex-direction: row;
  justify-content: flex-start;
  margin-bottom: 10px;
}

.user-message {
  background-color: #007aff;
  color: #fff;
  border-radius: 10px;
  padding: 10px;
  margin-left: auto;
  display: flex;
  flex-direction: row;
  justify-content: flex-end;
  align-items: center;
  max-width: 70%;
}

.bot-message {
  background-color: #fff;
  color: #000;
  border-radius: 10px;
  padding: 10px;
  margin-right: auto;
  display: flex;
  flex-direction: row;
  justify-content: flex-start;
  align-items: center;
  max-width: 70%;
}

.message-text {
  font-family: 'Helvetica', 'Arial', sans-serif;
}

.profile-image {
  width: 40px;
  height: 40px;
  border-radius: 50%;
}

.user-image {
  margin-left: 10px;
}

.form {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  align-items: center;
  margin: 10px;
}

.form input[type="text"] {
  flex: 1;
  padding: 10px;
  border-radius: 25px;
  font-size: 16px;
  background-color: #fff;
}

.form button[type="submit"] {
  background-color: #007aff;
  color: #fff;
  border: none;
  outline: none;
  border-radius: 50%;
  width: 40px;
  height: 40px;
  margin-left: 10px;
  display: flex;
  justify-content: center;
  align-items: center;
}

.typing-bubble{
  width: 50px;
}

.header {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  align-items: center;
  padding: 10px;
  /* background-color: #fff; */
}

.contact-info {
  display: flex;
  flex-direction: column;
  align-items: center;
}

.name {
  font-family: 'Helvetica', 'Arial', sans-serif;
  font-size: 16px;
  font-weight: 500;
  margin-top: 2px;
  margin-bottom: 2px;
}

.back-button {
  font-size: 24px;
  color: #007aff;
}

.video-icon {
  font-size: 24px;
  color: #007aff;
}

.ref-link{
  color: #C53AAE;
  text-decoration: none;
  font-weight: 500;
}

.bot-image{
  margin-right: 10px;
}
```

### Stylesheet explanation

The given CSS code represents the styling for a chatbot user interface. Let's break it down:

1. `.chat-bot-header`: This represents the header of the chatbot, which includes properties such as font size, text alignment, font weight, font family, and color.
2. `.chat-container`: This represents the container that holds the entire chatbot interface. It has properties for width, maximum width, margin, display, flex direction, height, margin top, border, and border radius.
3. `.chat-window`: This represents the chat window where the messages between the user and the bot are displayed. It includes properties such as background color, border radius, padding, height, and overflow-y for scroll functionality.
4. `.message-container`: This represents the container for individual messages within the chat window. It has properties for display, flex direction, justify content, and margin bottom.
5. `.user-message` and `.bot-message`: These represent the style for user and bot messages respectively. They include properties such as background color, color, border radius, padding, margin left/right, display, flex direction, justify content, align items, and max width.
6. `.profile-image` and `.user-image`: These represent the style for profile images of the bot and user respectively. They include properties such as width, height, border radius, and margin right/left.
7. `.form`: This represents the form element for user input. It includes properties for display, flex direction, justify content, align items, and margin.
8. `.form input[type="text"]`: This represents the input field for user text input. It includes properties for flex, padding, border radius, font size, and background color.
9. `.form button[type="submit"]`: This represents the submit button within the form. It includes properties for background color, color, border, outline, border radius, width, height, margin left, display, justify content, and align items.
10. `.typing-bubble`: This represents a typing indicator bubble, which could be used to indicate that the bot is typing a response. It includes properties for width.
11. `.header`: This represents the header section of the chatbot, which includes properties for display, flex direction, justify content, align items, and padding.
12. `.contact-info`: This represents the contact information section within the header. It includes properties for display, flex direction, and align items.
13. `.name`: This represents the name or title within the contact information section. It includes properties for font family, font size, font weight, and margin top.
14. `.back-button` and `.video-icon`: These represent styles for back button and video icon within the header respectively. They include properties for font size and color.
15. `.ref-link`: This represents a reference link style, which includes properties for color, text decoration, and font weight.


https://raw.githubusercontent.com/0xmetaschool/Learning-Projects/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Connect%20this%20Yeezy%20to%20a%20NextJS%20app.md

Connect This Yeezy to a NextJS App

# Create a Local Python Server

This server will be responsible for fetching data from the MindsDB and create an API using Python Flask. This server will handle the POST request from the NextJS app and will return the response.

## What is Flask?

Let me introduce you to Flask, a super cool Python web framework that's perfect for creating AI-powered applications. Here's the deal:

- Flask is a lightweight, open-source web framework that's used for building web applications in Python.
- It's easy to use and has a ton of features that make it perfect for building AI-powered apps.
- Flask is great for integrating with third-party libraries, which is perfect for fetching data from MindsDB for your AI bot.
- It's super flexible and customizable, so you can build your app exactly the way you want it.

## Why use Flask for building an AI-powered YeGPT?

Here are a few reasons:

- It's easy to integrate with MindsDB, which is where you'll be fetching your data for your AI bot.
- Flask has a ton of libraries and extensions that make it easy to add features to your app, like authentication and security.
- It's super fun and exciting to work with, especially when you're building something as cool as a YeAI bot!

Not that we have covered the boring part, let’s dive into creating the server.

## Create [`server.py`](http://server.py) file in your NextJS app

Create a file called `server.py` under `kanye-ai` root directory and paste this code:

```
import json
from sqlalchemy import create_engine
from flask import Flask, request, jsonify
from flask_cors import CORS

app = Flask(__name__)
CORS(app, origins='http://localhost:3000', supports_credentials=True)  # Set CORS headers for all routes

@app.route('/bot', methods=['POST'])
def kanye_bot():
    try:
        # Set CORS headers for the response
        headers = {
            'Access-Control-Allow-Origin': 'http://localhost:3000',
            'Access-Control-Allow-Methods': 'POST',
            'Access-Control-Allow-Headers': 'Content-Type',
            'Access-Control-Allow-Credentials': 'true'
        }

        # Get the request data
        request_json = request.get_json()
        message = request_json['message']

        # mindsdb is a MySQL db so these are the credentials
        user = '<replace with your mindsdb email>'  
        password = '<replace with your mindsdb password>' 
        host = 'cloud.mindsdb.com'
        port = 3306
        database = 'mindsdb'

        # initializing the db connection
        def get_connection(user, password, host, port, database):
            return create_engine(
                url="mysql+pymysql://{0}:{1}@{2}:{3}/{4}".format(user, password, host, port, database)
            )

        try:
            engine = get_connection(user, password, host, port, database)
            print(f"Connection to {host} for user {user} created successfully.")
        except Exception as ex:
            print("Connection could not be made due to the following error: \n", ex)

        # Run the query
        with engine.connect() as eng:
            query = eng.execute(f"SELECT response from mindsdb.kanye_chat WHERE text= '{message}';")
            results = []
            for row in query:
                row_dict = dict(row)
                results.append(row_dict)

            # Create a dictionary to store the results
            result_dict = {'results': results}

            # Convert the dictionary to a JSON format
            json_result = json.dumps(result_dict, ensure_ascii=False)

            # Return the response with CORS headers
            return (json_result, 200, headers)
    except Exception as ex:
        # Handle any errors that may occur during processing
        # Return an error response if needed
        return jsonify({'error': str(ex)}), 500

if __name__ == '__main__':
    app.run(host='localhost', port=8080)
```

### Code explanation

This is a Flask web application that serves as an API for a chatbot that interacts with MySQL database. Here is a high-level overview of what the code does:

1. Import necessary modules: 
    1. `json` for JSON manipulation,
    2.  `create_engine` from SQLAlchemy for database connection, 
    3. `Flask` for web application framework, 
    4. `request` and `jsonify` from Flask for handling HTTP requests and responses, and 
    5. `CORS` from `flask_cors` for handling Cross-Origin Resource Sharing (CORS) headers.
2. Create a Flask web application instance with the name `app`.
3. Set CORS headers for the application to allow cross-origin requests from `http://localhost:3000` with credentials support, which allows the chatbot API to be accessed from a web application running on `http://localhost:3000` without any CORS restrictions.
4. Define a route `/bot` that handles `POST` requests. This is the endpoint that the chatbot API will listen to for receiving user messages.
5. Inside the `kanye_bot` function, first, the CORS headers for the response are set in the `headers` dictionary. These headers specify the allowed origin, allowed methods, allowed headers, and support for credentials in the response.
6. Get the request data from the HTTP request payload as JSON using `request.get_json()` function. The user's message is extracted from the request payload.
7. Define the MySQL database credentials (user, password, host, port, and database) for connecting to a MindsDB database.
8. Define a function `get_connection` that takes the database credentials as arguments and returns a SQLAlchemy database engine object for connecting to the MindsDB database.
9. Try to create a database engine using the `get_connection` function and store it in the `engine` variable. If the connection is successful, a success message is printed to the console. If the connection fails, an error message is printed.
10. Run a SQL query to fetch the response from the `mindsdb.kanye_chat` table where the `text` column matches the user's message. The fetched rows are converted into dictionaries and appended to the `results` list.
11. Create a dictionary `result_dict` to store the `results` list with a key `'results'` for JSON formatting.
12. Convert the `result_dict` dictionary to a JSON format using `json.dumps()` function with `ensure_ascii=False` argument to preserve non-ASCII characters.
13. Return the JSON response with the CORS headers and a `200` HTTP status code indicating a successful response.
14. If any exceptions occur during processing, catch them and return an error response with a `500` HTTP status code and an error message in the response body.
15. Finally, if the script is run directly (not imported as a module), start the Flask application to run on `http://localhost` with port `8080` using `app.run()` function.

> **Note:** Do remember to replace `'<replace with your mindsdb email>'` and `'<replace with your mindsdb password>'` with your email and password.
> 

## Let’s install the dependencies now

Create a file called `requirement.txt` under the root folder of `kanye-ai` folder and paste this:

```
sqlalchemy==1.4.47
flask-cors
flask
pymysql==1.0.3
```

Now in your terminal run the following command:

```
 pip install -r requirement.txt
```

> **Note:** We assume that you have already installed Python 3.8 in your system.
> 

Let’s see this happening live:

![run pip command.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20Local%20Python%20Server%20da134c5573004ef2b821c9f5ce89c5c0/run_pip_command.gif)

🎉 Congratulation, you have successfully created a local API server!

## Let’s run this server

To run this server just run this command in your terminal.

```
python3 server.py

```

> **Note:** Make sure your terminal is opened in the root directory `kanye-ai` for the commands to work.
>

Let’s see this happening live:

![running server.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20Local%20Python%20Server%20da134c5573004ef2b821c9f5ce89c5c0/running_server.gif)

and voila your server is ready to respond to the NextJS frontend requests.

We will use this URL in our `index.js` file in `[axios.post](http://axios.post)` function. We can do this like this:

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20Local%20Python%20Server%20da134c5573004ef2b821c9f5ce89c5c0/Untitled.png)


https://raw.githubusercontent.com/0xmetaschool/Learning-Projects/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Create%20a%20Local%20Python%20Server.md

Create a Local Python Server

# Let’s Try our Yeezy Boy

So we are in the final lesson, keep the excitement high because we are just few steps away from having out very own AI bot which can mimic our fav character.

## Let’s ignite our App

Run this command in your terminal set to the root folder `kanye-ai` to build your NextJS app (assuming that your Python server is running locally).

```
npx next build
```

Let’s look at how the output will look like after this command.

![running npx build cmd.gif](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Let%E2%80%99s%20Try%20our%20Yeezy%20Boy%2083199fd0f3c14f0c97247e0904c8a459/running_npx_build_cmd.gif)

Now we will kickstart our bot using the command `npm start`. Go to the given URL. You will see the AI bot like this (I have asked some questions to YeGPT as well!):

![Untitled](https://github.com/0xmetaschool/Learning-Projects/raw/main/Build%20a%20YeBot%20with%20OpenAI%20API/3.%20Let%E2%80%99s%20Build%20Some%20Dope%20Shit/Let%E2%80%99s%20Try%20our%20Yeezy%20Boy%2083199fd0f3c14f0c97247e0904c8a459/Untitled.png)

🎊Congratulations you have successfully created your very own AI bot!

> **Note:** The response from the bot will take like 18-20 seconds as we are using the free instance of MindDB but if you wish to launch it, you should a paid instance which will respond faster!


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Let’s Try Our Yeezy Boy

Let’s Build Some Dope Shit

Wrap up the course and build your own AI bot.

# Let’s Wrap it Up

## 🎊CONGRAGULATIONS!

Congratulations on completing this dope course and taking your AI development skills to the next level.

We just wrapped up a lit course on how to use OpenAI to make a bot that can act like Kanye West. Now, it's time to take a moment and go over all the dope stuff we learned in this course.

## You learned the basics of AI and OpenAI

At the start of this course, we learned how AI is revolutionising this modern world. We learned what OpenAI is and how OpenAI API is being used to build dope stuff. We wrote the python code and used OpenAI API to train our first model using prompts.

## You learned how to set up MindsDB

At the start of building the YeGPT, we got down to business and learned how to set up a database and API for the bot.

## You learned prompt engineering

After setting up the database and API for our bot, we got right into using MindsDB Cloud to train our model. We put our creativity to the test by adding Kanye personality to the bot and using prompts to make it sound more Kanye-like. And the best part is that the more we trained it, the better it got at coming up with responses that sounded just like Kanye himself!

## You learned to build an AI Bot

After we trained our AI bot using MindsDB Cloud, we learned how to make a frontend for our YeGPT using NextJS. We set up the Flask server to create an API and fetch data from MindsDB. We learned how we can use Flask to handle the responses of our YeGPT.

## You learned the power of AI

But, this course isn't just about making a bot that sounds like Kanye West. It's about understanding the power of AI and what it can do for you. MindsDB makes it easy to use machine learning and automate tasks, so you can spend more time doing what you love.

## Now what?

The potential of AI is limitless and we urge you to go out there and create your very own AI projects. Let’s look at some of the following project ideas that you can now build on your own.

1. Harry Potter AI bot that will take you to Harry Potter magical world.
2. Physics Tutor AI bot that will help you learn physics.
3. Albert Einstein AI bot that gives you some dope wisdom.
4. Luffy AI bot that will help you find One Piece! Isn’t it cool??

## Stay Connected

Don't forget to flex your new AI bot on Twitter and tag us @0xmetaschool. Stay connected with us and keep leveling up. Remember, OpenAI is a game-changer that can transform the world as we know it. So keep pushing boundaries, keep expanding your knowledge, and let's change the game together.

We appreciate you taking this journey with us and hope to see you again in our future courses. Keep hustlin'!

WAGMI! Peace out! ✌🏻🔮

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Build a YeBot with OpenAI API

Project Curriculum

Ready, Set, Build!

WTH is OpenAI?

Let’s Build Some Dope Shit

Let’s Wrap It Up

🎉 Completion

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