Guide to Using GPT-3 with Python

mkdir python-gpt-3
cd python-gpt-3

Create a new file called main.py, which will contain the source code for your application:

touch main.py

python -m venv ./venv

source ./venv/bin/activate

venv\Scripts\activate.bat

venv\Scripts\Activate.ps1

The virtual environment name (venv) should now appear to the left of your terminal prompt in parentheses:

Make sure your virtual environment is activated (ie, the environment name appears to the left of your terminal prompt) and install the openai package using pip:

pip install openai

In your terminal window, set the OPENAI_API_KEY environment variable for the current session by running the appropriate command below, replacing {OPENAI_API_KEY} with the API key you retrieved from your OpenAI platform:

export OPENAI_API_KEY={OPENAI_API_KEY}

set OPENAI_API_KEY={OPENAI_API_KEY}

$env:$OPENAI_API_KEY = {OPENAI_API_KEY}

code .

Open the main.py file and add the following import statements:

import os
import openai

In the snippet above, you first import the os package. This package reads environment variables so you can access the OPENAI_API_KEY environment variable value in your Python application. Next, you also import the openai package, which you’ll use to send requests to OpenAI’s API and receive responses from the API.

Paste the following lines of code at the bottom of your main.py file:

prompt_file = input("Prompt file: ")

prompt = ""
with open(prompt_file, "r") as f:
    prompt = f.read()

This code will prompt the user for a prompt file and read the contents of that file into a prompt variable.

You can now send the prompt to GPT-3 using the openai package you imported earlier. Paste the following code at the bottom of your Python script:

openai.api_key = os.getenv("OPENAI_API_KEY")

response = openai.ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=[
        {"role": "user", "content": prompt}
    ]
)

The snippet above first loads the OpenAI API key from the OPENAI_API_KEY environment variable and assigns it to the api_key variable in the openai package.

Then, the code sends the prompt to the gpt-3.5-turbo model. Several language models provided by OpenAI are available over the API, each optimized for particular use cases. The most suitable models for the tasks demonstrated in this article are the gpt-3.5-turbo and text-davinci-003 models. The snippet above uses gpt-3.5-turbo since it’s the cheaper option of the two models.

Since gpt-3.5-turbo is designed to be a chat completion model, you specify the prompt in a message object from the user. This prompt is then sent to OpenAI to be processed. When the model has processed the prompt, a response is returned and stored in the response variable in the snippet above. You’ll output the answer in the next section.

You can output the response to the prompt you sent to the OpenAI API using the following code (paste it at the bottom of your main.py file):

print(response.choices[0].message.content)

The first prompt you'll test summarizes a passage of text into a couple of sentences. Create a new file called prompt-summarize.txt in your project directory and paste the following text:

Apple Inc. is an American multinational technology company headquartered in Cupertino, California. Apple is the largest technology company by revenue, totaling US$394.3 billion in 2022. As of March 2023, Apple is the world's biggest company by market capitalization. As of June 2022, Apple is the fourth-largest personal computer vendor by unit sales and second-largest mobile phone manufacturer. It is one of the Big Five American information technology companies, alongside Alphabet (known for Google), Amazon, Meta (known for Facebook), and Microsoft.

Apple was founded as Apple Computer Company on April 1, 1976, by Steve Wozniak, Steve Jobs and Ronald Wayne to develop and sell Wozniak's Apple I personal computer. It was incorporated by Jobs and Wozniak as Apple Computer, Inc. in 1977. The company's second computer, the Apple II, became a best seller and one of the first mass-produced microcomputers. Apple went public in 1980 to instant financial success. The company developed computers featuring innovative graphical user interfaces, including the 1984 original Macintosh, announced that year in a critically acclaimed advertisement. By 1985, the high cost of its products, and power struggles between executives, caused problems. Wozniak stepped back from Apple amicably and pursued other ventures, while Jobs resigned bitterly and founded NeXT, taking some Apple employees with him.

As the market for personal computers expanded and evolved throughout the 1990s, Apple lost considerable market share to the lower-priced duopoly of the Microsoft Windows operating system on Intel-powered PC clones (also known as "Wintel"). In 1997, weeks away from bankruptcy, the company bought NeXT to resolve Apple's unsuccessful operating system strategy and entice Jobs back to the company. Over the next decade, Jobs guided Apple back to profitability through a number of tactics including introducing the iMac, iPod, iPhone and iPad to critical acclaim, launching the "Think different" campaign and other memorable advertising campaigns, opening the Apple Store retail chain, and acquiring numerous companies to broaden the company's product portfolio. When Jobs resigned in 2011 for health reasons, and died two months later, he was succeeded as CEO by Tim Cook.

Apple became the first publicly traded U.S. company to be valued at over $1 trillion in August 2018, then $2 trillion in August 2020, and $3 trillion in January 2022. As of January 2023, it was valued at around $2.2 trillion. The company receives criticism regarding the labor practices of its contractors, its environmental practices, and its business ethics, including anti-competitive practices and materials sourcing. Nevertheless, the company has a large following and enjoys a high level of brand loyalty. It is ranked as one of the world's most valuable brands.

---

Summarize the article above into four sentences.

python main.py

When asked to specify the prompt file, enter prompt-summarize.txt:

Prompt file: prompt-summarize.txt

Apple is an American technology company that is the largest technology company in terms of revenue and the world's biggest company by market capitalization. It was founded in 1976 by Steve Wozniak, Steve Jobs, and Ronald Wayne. Over the years, the company faced challenges and lost market share to competitors but regained profitability under the leadership of Jobs, who introduced innovative products and strategies. Today, Apple is valued at over $2 trillion but receives criticism for its labor and environmental practices, and business ethics.

Create a new file called prompt-twitter-thread.txt in your project folder and paste the following prompt:

Write a Twitter thread with 5 tips on how to pay down your debt faster. Each tip should have a title and a description of that tip. Include an introduction tweet with a captivating opening statement to entice the user to open the thread. Also include a conclusion tweet listing all the tips in order. Include appropriate hashtags at the bottom of each tweet in the thread.

python main.py

When asked to specify the prompt file, enter the prompt-twitter-thread.txt file:

Prompt file: prompt-twitter-thread.txt

After a couple of seconds, you should see a response printed in the terminal. Below is an example of the kind of answer you can expect:

Introduction: If you feel like you're drowning in debt, you're not alone! But don't worry, there are steps you can take to pay down debt faster. Here are 5 tips to help you get closer to financial freedom. #DebtFree #FinancialFreedom

Tip 1: Prioritize debts with higher interest rates 
Start by paying off debts with higher interest rates first. The faster you pay them off, the less interest you'll have to pay. This method will also save you more money in the long run. #HighInterestRates #CreditCardDebt

Tip 2: Create a budget and stick to it 
Developing a budget will help you see where your money is going, and help you identify areas where you can cut back or eliminate unnecessary spending. Stay committed to your budget, and you'll be on the path to paying off debt faster. #Budgeting #DebtManagement

Tip 3: Consider debt consolidation 
If you're struggling to keep track of multiple debts and payments, consider consolidation. Debt consolidation allows you to combine multiple debts into one manageable payment. This can make it easier to pay off debt faster. #DebtConsolidation #Loan

Tip 4: Increase your payments 
Make more than the minimum monthly payments on your debts. Even increasing your payments by a small amount each month can help get you out of debt faster. This method will also help to reduce the amount of interest you'll owe. #PayingMore #FasterDebtPayoff

Tip 5: Focus on increasing your income 
Consider taking on a second job or side hustle to help generate extra income. Use the additional earnings to pay down your debts faster. This might require a bit of sacrifice, but it'll ultimately lead to financial freedom. #SideHustle #FinancialGoals

Conclusion:  Seems like a lot of work, right? But implementing these tips will help you pay off debts faster and achieve financial freedom. To summarize, prioritize high interest debts, create a budget and stick to it, consider debt consolidation, increase your payments, and focus on increasing your income. You got this! #DebtFree #FinancialFreedom #DebtManagement

Create a prompt-bank-statement.txt file in the project's root directory and paste the following text into the file:

BANK OF AMERICA

Customer service information
Customer service: 1.800.432.1000
bankofamerica.com
Bank of America, N.A.

Your Adv Plus Banking
for June 10, 2021 to July 9, 2021

| Beginning balance on June 10, 2021 | $2,825.37     |
| Deposits and other additions       | 7667.50       |
| Withdrawals and other subtractions | -7755.02      |
| Checks                             | -0.00         |
| Service Fees                       | -1.81         |
| **Ending balance on July 9, 2021** | **$2,736.04** |

---

Convert the bank statement above into a JSON object according to the JSON schema defined below. Do not output the schema itself but transform the statement data into a JSON object representing the schema. Make sure to format dates in the `yyyy-mm-dd` format and output all amounts as numbers only without the currency.

{
  "$schema": "http://json-schema.org/draft-04/schema#",
  "type": "object",
  "properties": {
    "bank": {
      "type": "object",
      "properties": {
        "name": {
          "type": "string"
        },
        "website": {
          "type": "string"
        }
      },
      "required": [
        "name",
        "website"
      ]
    },
    "startDate": {
      "type": "string"
    },
    "endDate": {
      "type": "string"
    },
    "currency": {
      "type": "string"
    },
    "openingBalance": {
      "type": "number"
    },
    "closingBalance": {
      "type": "number"
    },
    "transactions": {
      "type": "array",
      "items": [
        {
          "type": "object",
          "properties": {
            "description": {
              "type": "string"
            },
            "amount": {
              "type": "number"
            }
          },
          "required": [
            "description",
            "amount"
          ]
        }
      ]
    }
  },
  "required": [
    "bank",
    "startDate",
    "endDate",
    "currency",
    "openingBalance",
    "closingBalance",
    "transactions"
  ]
}

python main.py

When asked to specify a prompt file, enter prompt-bank-statement.txt:

Prompt file: prompt-bank-statement.txt

A few seconds later, you should see the response from GPT-3. Below is a sample output:

{
  "bank": {
    "name": "Bank of America",
    "website": "bankofamerica.com"
  },
  "startDate": "2021-06-10",
  "endDate": "2021-07-09",
  "currency": "USD",
  "openingBalance": 2825.37,
  "closingBalance": 2736.04,
  "transactions": [
    {
      "description": "Deposits and other additions",
      "amount": 7667.50
    },
    {
      "description": "Withdrawals and other subtractions",
      "amount": -7755.02
    },
    {
      "description": "Checks",
      "amount": 0.00
    },
    {
      "description": "Service Fees",
      "amount": -1.81
    }
  ]
}