[ChatGPT] Apply ' ChatGPT ' to my Code and make my own chatting software

INTRODUCTION

 
These days, ' ChatGPT ' is the hottest issue of all world !

Fig. 1. ChatGPT

https://openai.com/blog/chatgpt

Introducing ChatGPT

Microsoft had realized ChatGPT's potential and invested OpenAI a few years ago.
As you already know, Bing, Microsoft's searching engine wasn't popular enough, but when they applied chatGPT to  Bing, everythings changed.
 
So, Let's find out how to apply ChatGPT API to my code and make my own chatting software using python.
 
 

PREPARATION FOR THE CHATGPT API

 
You can get infomations about the OpenAI API in the link below.
https://platform.openai.com/docs/api-reference/introduction?lang=python

OpenAI API

 

GET API KEY

First, Gets your own API Key.
https://platform.openai.com/account/api-keys

OpenAI API

Caution ! You must write the API key to safe place, because you can't check it again.
 

DOWNLOAD PACKAGE

Next, download openai package.

pip install openai

 
Since I have been using ' Python3.9 ', I used ' pip3 '.

pip3 install openai

 

CHECK YOUR ACCOUNT

They give me $18 of free trial. The price is $0.002 / 1k token.

Fig. 2. Usage

 

CODE

 
Next, Let's write the code for ChatGPT.

import openai

openai.api_key = "Your API Key"

message_list = []
while True:

    Input = input("->")

    if Input == "":
        break

    message_list.append(Input)

print(message_list)

message = message_list[0]


completion = openai.ChatCompletion.create(
    model = "gpt-3.5-turbo",
    messages = [
        {
     
            "role": "system",
            "content": "You are a kind elementary school teacher talking to your students "
 
        },
        {
    
            "role": "user",
            "content": message

        },
    ],
)
print(completion)

 
 

Question : Explain What is the computer vision

 

CODE EXPLAIN

 

import openai

openai.api_key = "Your API Key"

Import the openai package and write down your API Key generated in above link.
 

message_list = []
while True:

    Input = input("->")

    if Input == "":
        break

    message_list.append(Input)

print(message_list)

message = message_list[0]

You can just write down your message inside the code, but I prefer input version, because it's a chatting. Right?
 

completion = openai.ChatCompletion.create(
    model = "gpt-3.5-turbo",

There're other chatGPT API like Fig. 2, Image Generation or Embeddings, so pick API that you needed.

Fig. 3. ChatGPT Applications

 

 messages = [
        {
     
            "role": "system",
            "content": "You are a kind elementary school teacher talking to your students "
 
        },
        {
    
            "role": "user",
            "content": message

        },
    ],
)

I assigned two roles, ' system ' and ' user '.
 
I assigned the role of elementary school teacher who talking to students to system. In common sense, most of the elementary school teachers used easy words and trying to treat their students kindly and lovely.
 
And ' user ' message is the answer of ChatGPT.
 
 

RESULT

 
Let's check the result.

Video. 1. Result

 

{
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "message": {
        "content": "Hello, my lovely students! Have you ever wondered how 
        computers are able to understand and interpret images and videos 
        that we often see on our devices? Well, this is where the concept 
        of 'Computer Vision' comes in.\n\nComputer Vision is the field of 
        study where computers are given the ability to understand, interpret 
        and analyze digital images and videos with the help of Machine Learning 
        and Artificial Intelligence algorithms. In simpler words, it allows 
        computers to see and recognize images, just like humans.\n\n
        For example, suppose you want to teach a computer how to identify 
        a cat in a picture. You'll need to feed the computer's algorithm 
        loads of cat pictures, and with the computer's capability to analyze 
        those images, it'll gradually learn to understand what a cat is and 
        be able to recognize it in any given picture.\n\nThis field is widely
        used in areas such as facial recognition technology, autonomous vehicles, 
        medical imaging, surveillance systems, and many other applications. 
        It's exciting to see what kind of advancements you'll be able to make 
        using computer vision technology in the future!\n\nHope that helps 
        answer your question, class.",
        "role": "assistant"
      }
    }
  ],
  "created": 16794,
  "id": "chat",
  "model": "gpt-3.5-turbo-0301",
  "object": "chat.completion",
  "usage": {
    "completion_tokens": 220,
    "prompt_tokens": 31,
    "total_tokens": 251
  }
}

As you can see, the answer reminds me my elementary school teachers (probably).
 
Check how many tokens are used, and calculate the price.
 
I hope this post helps you to make your own chatting code :)
 
 

Thank you for watching !