OpenAI API Libraries

Python Binding

There are various kinds of python bindings available in OpenAI API Libraries. That will help you to build your model. 

 

Code:

 

pip install openai

 

This message refers to the successful installation of Open AI in your system. 

 

 

 

Now we can easily run the secret key and the API for the following commands. Execute this command by creating the file. 

 

Code:

 

import os
import openai

# Load your API key from an environment variable or secret management service
openai.api_key = "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"

response = openai.Completion.create(model="text-davinci-002", prompt="Say this is a test", temperature=0, max_tokens=6)

print(response)

 

Output:

 

 

 

 

You can execute the same command by using the command-line also. The code for the same is: 

 

openai api completions.create -m text-davinci-002 -p "Say this is a test" -t 0 -M 6 --stream

 

 

Node.js Library 

There is also a node.js library. To install this library in your system we have to run the following command. 

 

$ npm install openai

 

Now we can easily use the library and installed key in creating our API.

 

Code:

 

const { Configuration, OpenAIApi } = require("openai");
const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
const response = await openai.createCompletion({
  model: "text-davinci-002",
  prompt: "Say this is a test",
  temperature: 0,
  max_tokens: 6,
});

 

This will provide you with the same output as shown above.

 

 

Community OpenAI API Libraries 

These libraries come under the section of the broader development community. Broader Development Society is also responsible for building and maintaining these libraries. Libraries that come under this section are Crystal, C#/.NET, Dart, Go, Python, Ruby, Java, Node.js, PHP, Unity, and Unreal Engine.

 

The chronology library is useful to allow users to make OpenAI’s GPT-3 model in a more easy and simple way. Not only the mechanism but the interface is also very interactive in the case of the GPT-3 model. 

 

This library act as another library that helps in building the GPT-3 model. Some of the features of this library are: 

• Modification and creation of fonts are quite easy and simple. 
• It also allows calling multiple prompts at the same time. 
• It also allows chaining of prompts which means the output of one prompt will act as an input for another. 

 

 

Also Read: OpenAI