PostmanAPI

AI Text Summarizer and Image Generator

1. Text Summarization
   Enter a large block of text (min. 200 characters) and click the "Summarize" button to generate a concise summary.

2. Text-to-Image Generation
   Enter a text description of the image you want, and click the "Generate Image" button to generate an image.

This is a full-stack web application built with Node.js and Express.js that demonstrates the power of AI by integrating two APIs:

• Text Summarization using Hugging Face's BART Large CNN model.
• Text-to-Image Generation using Hugging Face's Text-to-Image API.

The application provides a user-friendly interface to summarize large blocks of text and generate images based on text descriptions.

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Table of Contents

1. Features
2. Technologies Used
3. File Breakdown
4. Setup Instructions
5. How to Use
6. Project Flow
7. Acknowledgments

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Features

1. AI Text Summarization

   • Input: Large text blocks (min. 200 characters).
   • Output: A concise summary generated using the BART Large CNN model.

2. Text-to-Image Generation

   • Input: Text describing an image.
   • Output: An AI-generated image in PNG format.

3. Environment Configuration

   • API keys are hidden using dotenv.
   • Users can either create a .env file or directly replace the ACCESS_TOKEN in the code.

4. Responsive Design

   • Clean, user-friendly interface styled with CSS.

5. Cross-Origin Request Handling

   • Enabled using the CORS library for smooth client-server communication.

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Technologies Used

Frontend:

• HTML, CSS, JavaScript for UI and interactivity.

Backend:

• Node.js and Express.js for server-side logic and routing.

APIs:

• Text Summarization API: Hugging Face's BART Large CNN model.
• Image Generation API: Hugging Face's Text-to-Image model.

Libraries:

• Axios: For making HTTP requests.
• dotenv: For securely handling API keys.
• CORS: For enabling cross-origin requests.

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File Breakdown

index.html:

• Text Summarization Section: Input textarea and summarize button.
• Image Generation Section: Input textarea and generate image button.
• Links to stylesheet.css and script.js.

index.js:

• Configures middleware (CORS, express.json, express.static).
• Defines two API routes:
  • /summarize: Handles text summarization requests.
  • /convert-to-image: Handles text-to-image conversion requests.

summarize.js:

• Implements the logic for calling the Text Summarization API.
• Validates input and uses the ACCESS_TOKEN for authorization.

convert.js:

• Implements the logic for calling the Text-to-Image API.
• Dynamically calculates image size based on text length.

script.js:

• Adds interactivity to the web page (button click handling, API requests, error management).

stylesheet.css:

• Styles the app with a clean and responsive design.

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Setup Instructions

1. Clone the Repository:

   git clone https://github.com/medss19/PostmanAPI.git
   cd PostmanAPI

2. Install Dependencies:

   npm install

3. Set Up Environment Variables:

   • Create a .env file in the project root directory.
   • Add your Hugging Face API token:

     ACCESS_TOKEN=your_huggingface_api_key

4. Run the Application:

   node index.js

   • The app will start on localhost:3000.

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How to Use

1. Text Summarization:

   • Enter a large block of text (min. 200 characters).
   • Click the "Summarize" button to generate a concise summary.

2. Text-to-Image Generation:

   • Enter a text description of the image you want.
   • Click the "Generate Image" button to see the AI-generated image.

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Project Flow

1. User Interaction:

   • Users interact with the web interface via the browser.

2. Client-Side Processing:

   • script.js validates inputs and sends API requests to the server.

3. Server-Side Processing:

   • index.js handles requests and routes them to the appropriate module (summarize.js or convert.js).

4. API Interaction:

   • Hugging Face APIs process the data and return results.

5. Result Display:

   • Summaries and images are displayed in the browser.

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Acknowledgments

• Hugging Face APIs: For providing powerful AI models for text summarization and image generation.
• Postman Academy: For student programs that inspired this project.