Text Summarization | Endpoints | Openai Api Tutorial

Introduction

Text summarization using the OpenAI API allows you to generate concise summaries of longer texts. This tutorial covers how to use the text summarization endpoint effectively, its parameters, and examples in JavaScript and Python.

Endpoint Overview

The text summarization endpoint condenses large bodies of text into shorter summaries, capturing the main points and essential information.

Using the Text Summarization Endpoint

API Request

To use the text summarization endpoint, send a POST request to the endpoint URL with your API key and the text to summarize.

POST /v1/engines/davinci/summarize HTTP/1.1
Host: api.openai.com
Content-Type: application/json
Authorization: Bearer YOUR_API_KEY

{
    "model": "davinci",
    "text": "The introduction of the transistor revolutionized electronics. It made smaller, more reliable electronic devices possible. Before transistors, electronic devices relied on vacuum tubes, which were bulky and unreliable.",
    "max_tokens": 50
}

In this example, a text about transistors is provided with a maximum token limit of 50 tokens for the summary.

API Response

The API responds with the summarized text based on the provided input.

HTTP/1.1 200 OK
Content-Type: application/json

{
    "summary": "The transistor revolutionized electronics, enabling smaller and more reliable devices. Before transistors, electronic devices relied on bulky and unreliable vacuum tubes."
}

The summarized text is returned in the JSON response under the "summary" field.

Parameters

Here are some common parameters you can use with the text summarization endpoint:

text: The text to be summarized.
max_tokens: Maximum number of tokens (words) in the summarized text.
model: The model to use for text summarization (e.g., "davinci").

Examples in JavaScript

Here's how you can use the text summarization endpoint in JavaScript:

const axios = require('axios');

const apiKey = 'YOUR_API_KEY';
const endpoint = 'https://api.openai.com/v1/engines/davinci/summarize';

async function getTextSummarization(text) {
    try {
        const response = await axios.post(endpoint, {
            model: 'davinci',
            text: text,
            max_tokens: 50
        }, {
            headers: {
                'Content-Type': 'application/json',
                'Authorization': `Bearer ${apiKey}`
            }
        });

        console.log(response.data.summary);
    } catch (error) {
        console.error('Error:', error);
    }
}

getTextSummarization('The introduction of the transistor revolutionized electronics...');

Examples in Python

Here's how you can use the text summarization endpoint in Python:

import requests
import json

api_key = 'YOUR_API_KEY'
endpoint = 'https://api.openai.com/v1/engines/davinci/summarize'

def get_text_summarization(text):
    headers = {
        'Content-Type': 'application/json',
        'Authorization': f'Bearer {api_key}'
    }
    data = {
        'model': 'davinci',
        'text': text,
        'max_tokens': 50
    }

    response = requests.post(endpoint, headers=headers, data=json.dumps(data))
    if response.status_code == 200:
        summary = response.json()['summary']
        print(summary)
    else:
        print(f"Error: {response.status_code}, {response.text}")

get_text_summarization('The introduction of the transistor revolutionized electronics...')

Conclusion

The text summarization endpoint in the OpenAI API provides an efficient way to condense large texts into concise summaries. By understanding its usage, parameters, and seeing examples in JavaScript and Python, you can leverage text summarization capabilities effectively for various applications.

Text Summarization using OpenAI API