Text Summarizer Using Chat-GPT Turbo 3.5

Overview

This project consists of a backend API built using Django and Python, which utilizes the Chat-GPT Turbo 3.5 model to summarize text inputs. The backend API receives text inputs through HTTP requests and responds with a summary of the given text. The frontend part of the application is built using Next.js and TypeScript, allowing users to input text and display the resulting summary.

Backend

The backend API is built using Django and Python. It uses the chatGPT library to interact with the Chat-GPT Turbo 3.5 model. The API endpoint is api/summarize/, which accepts a JSON payload containing the text to be summarized. The API returns a JSON response with the summary of the text.

Text Summarizer API Documentation

API Endpoint

The API endpoint for the text summarizer is https://text-summarizer-backend.onrender.com/api/summarize/. It supports POST requests.

Request Format

The request format is JSON. The payload must contain a single key-value pair, where the key is text and the value is the text to be summarized. For example:

{
  "text": "This is a sample text to summarize."
}

Testing the API

Using Curl

You can test the API using curl as follows:

curl -X POST \
  https://text-summarizer-backend.onrender.com/api/summarize/ \
  -H 'Content-Type: application/json' \
  -d '{
        "text": "This is a sample text to summarize."
      }'

Frontend

The frontend of this project is developed using Next.js and TypeScript. It provides a user-friendly interface for interacting with the Text Summarizer API.

Frontend URL: https://brief-io.vercel.app/

How to Use the Frontend

1. Clone this repository to your local machine.

2. Navigate to the frontend directory.

3. Install the required dependencies using npm or yarn:

   npm install
   # or
   yarn install

Contributing

Contributions are welcome! If you would like to contribute to the project, please open a pull request with your proposed changes.

License

This project is licensed under the MIT License.