Developing a Python CLI Application that talks to Chat GPT

Chat GPT is a state-of-the-art language model developed by OpenAI that provides the ability to generate human-like text. With the API, you can easily integrate Chat GPT into your applications. This article will show you how to develop a Python CLI application that talks to Chat GPT, covering the following steps:

Setting up Authentication via an OpenAI Account

To use the Chat GPT API, you first need to sign up for an OpenAI account and obtain an API key. The API key is used for authentication and authorizes you to use the API.

To sign up for an OpenAI account, follow these steps:

1. Go to the OpenAI website (https://openai.com/).

2. Click on the "Sign up" button in the top right corner.

3. Fill out the form with your information and click the "Sign up" button.

4. Check your email for a verification link and click it.

5. Log in to your OpenAI account.

6. Go to the API section and obtain your API key.

Integrating the Chat GPT API

To integrate the Chat GPT API into your Python application, you need to install the OpenAI API client. You can install it using the following command:

pip install openai

Next, import the API client into your Python application:

import openai

Configure the API client with your API key:

openai.api_key = "YOUR_API_KEY"

Taking Prompts from the Command Line

To take prompts from the command line, you can use the input() function in Python. For example, you can prompt the user to enter a question and store it in a variable:

prompt = input("Enter your question: ")

Displaying Results in the Command Line

To display the result in the command line, you can use the print() function in Python. To generate a response from Chat GPT, you can use the Completion API. For example:

model_engine = "text-davinci-002"
completion = openai.Completion.create(
    engine=model_engine,
    prompt=prompt,
    max_tokens=1024,
    n=1,
    stop=None,
    temperature=0.5,
)

answer = completion.choices[0].text
print("Chat GPT: " + answer)

The above code generates a response from Chat GPT using the text-davinci-002 engine and the user's prompt. The response is stored in the answer variable and printed to the command line using the print() function.

That's it! You now have a basic Python CLI application that talks to Chat GPT. You can further customize the application and add more features as needed.