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TextSummarizer is a MERN stack application that utilizes natural language processing to generate concise summaries of lengthy texts or articles. With its AI-powered algorithms, users can quickly obtain accurate summaries, improving comprehension and saving time. Perfect for content creators, researchers, and individuals seeking to effortlessly .

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AI Text Summarizer App 🤖📝

Welcome to the AI Text Summarizer App! This application allows you to summarize text using the Hugging Face Facebook LLM model through an API.

Features ✨

  • Summarize long text into a concise summary.
  • Built with React, Vite, and Tailwind CSS for a modern and responsive UI.
  • Utilizes the Hugging Face Facebook LLM model for text summarization.
  • Easy-to-use interface for entering and viewing text summaries.

Demo 📸

AI text summarize srceenshot

Getting Started 🚀

Prerequisites 🛠️

  • Node.js (v14 or later)
  • npm or yarn

Installation 📦

  1. Clone the repository:

    git clone https://github.com/your-username/ai-text-summarizer.git

Navigate to the project directory: bash Copy code cd ai-text-summarizer Install dependencies: bash Copy code npm install

or

yarn install Usage 📋 Start the development server: bash Copy code npm run dev

or

yarn dev Open your browser and navigate to http://localhost:3000 to use the app. Enter the text you want to summarize in the text area and click the "Summarize" button. The app will send the text to the Hugging Face Facebook LLM model through an API, and display the summarized text in the output area. Deployment 🌐 To deploy the app for production, you can use Vercel, Netlify, or any other hosting platform that supports React applications. Make sure to set up environment variables for sensitive information such as API tokens securely.

Credits 🙏 This app was built by Your Name. Special thanks to Hugging Face for providing access to their model through an API. License 📄 This project is licensed under the MIT License - see the LICENSE file for details.

css Copy code

Feel free to adjust the emojis or add more emojis to suit your preferences! User add even demo image ChatGPT Certainly! Here's an updated version of the README with a section for a demo image:

markdown Copy code

AI Text Summarizer App 🤖📝

Welcome to the AI Text Summarizer App! This application allows you to summarize text using the Hugging Face Facebook LLM model through an API.

Features ✨

  • Summarize long text into a concise summary.
  • Built with React, Vite, and Tailwind CSS for a modern and responsive UI.
  • Utilizes the Hugging Face Facebook LLM model for text summarization.
  • Easy-to-use interface for entering and viewing text summaries.

Image 📸

Demo Image

Getting Started 🚀

Prerequisites 🛠️

  • Node.js (v14 or later)
  • npm or yarn

Installation 📦

  1. Clone the repository:

    git clone https://github.com/your-username/ai-text-summarizer.git

Navigate to the project directory: bash Copy code cd ai-text-summarizer Install dependencies: bash Copy code npm install

or

yarn install Usage 📋 Start the development server: bash Copy code npm run dev

or

yarn dev Open your browser and navigate to http://localhost:3000 to use the app. Enter the text you want to summarize in the text area and click the "Summarize" button. The app will send the text to the Hugging Face Facebook LLM model through an API, and display the summarized text in the output area. Deployment 🌐 To deploy the app for production, you can use Vercel, Netlify, or any other hosting platform that supports React applications. Make sure to set up environment variables for sensitive information such as API tokens securely.

Credits 🙏 This app was built by Your Name. Special thanks to Hugging Face for providing access to their model through an API. License 📄 This project is licensed under the MIT License - see the LICENSE file for details.

About

TextSummarizer is a MERN stack application that utilizes natural language processing to generate concise summaries of lengthy texts or articles. With its AI-powered algorithms, users can quickly obtain accurate summaries, improving comprehension and saving time. Perfect for content creators, researchers, and individuals seeking to effortlessly .

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