YouTube Captions Summarizer

Link to Site:
http://18.237.75.195:3000/

Link to ML Model I Trained from Scratch:
http://18.237.75.195:3000/my-model-notebook

Note: This site is currently not using HTTPS (secure connection).

Directory Structure

• script.js: Handles requests to the server and updating HTML items in the DOM.
• server.js: Main server setup and API routes.
• Transcript.js: Responsible for parsing and extraction of YouTube captions through scraping.
• OpenAiApi.js: Manages interactions with the OpenAI API and sets prompts.
• generateSummary.js: This module likely facilitates the generation of summaries using OpenAI's API.

Setup to run Node App from Local

1. Clone the repository:

git clone [your-repository-url]

2. Install dependencies:

npm install

3. Setup your environment variables: Create a .env file in the root directory of your project and add the following:

API_KEY=your_openai_api_key_here

5. Start the server:

node server.js

6. Once the server starts, you should see the message: Server is running on http://localhost:3000

Setup to run Node App by Hosting a Server

Using AWS Lightsail

https://hrboka.medium.com/setting-up-a-node-website-on-apache-with-aws-lightsail-8dfac2c4467d

API Routes

Fetch Captions

• Method: GET
• Endpoint: /captions
• Query Parameter: videoId (The ID of the YouTube video from which you want to fetch captions)
• Response: Returns the fetched transcript data in JSON format.

Generate Summary

• Method: POST
• Endpoint: /generateSummary
• Request Body:

  
  {
  "captions": [captionsData...]
  }

Response: Returns a summarized content based on the captions data.

Contribute

Feel free to dive in! Open an issue or submit PRs.

License

MIT © [Your Name]