Utility Studio

A quick one-stop place for some extraction or summarisation of content.

Perform extraction of information from web, youtube, or document links, download video/audio from youtube links, and summarize the text content.

Features

• Youtube
  • Audio
  • Video
  • Subtitles
• Documents
  • PDF/docx text extraction
  • Text summarizer
• Text
  • Text summarizer
• Links
  • Link information extractor

Project Demo link

Utility Studio

Hosted on vercel

About

Description

A place for quick and easy access to tasks like document, video, and text summarizing. Users can quickly come and drop their documents, youtube links, text, and web links and generate/extract textual information.

Tech Stack

The Utility Studio is built on a Refine (Next.js) project, leveraging the power of server-side rendering and React components for a smooth user experience. It integrates with Appwrite, a backend serverless platform, to handle various functionalities.

• Refine
• Next JS
• Appwrite (storage and functions)
• Python (cloud functions)
• Material UI

Preview

A simple demonstration of some of the features.

utility-studio-demo.mp4

License

MIT

Local dev environment setup

Prerequisites

• Node Version 18+
• PaLM API access
• Appwrite Cloud/self-hosted setup

Install Project

• Prefered using Node version 18+
• Clone the git repository and checkout to the repo

git clone https://github.com/mr-destructive/utility-studio

cd utility-studio

• Install dependencies

npm install

• Start local development server on port 3000 by default

npm run dev

OR customize the default port

npm run dev -- -p 8000

This should start the app on localhost:3000 or on your set port. 🚀

Other useful commands

• Building the app

npm run build

• Using swizzle command (to customize any component)

npm run refine swizzle

Additional Setup

• Appwrite project

1. Go to cloud.appwrite.io and register for an account.
2. Create a project and name it whatever you like, I have chosen utility-studio-test so choose a different one.
3. From the appwrite cli, deploy the functions with appwrite deploy function.
4. Create buckets for audio, video, and document storage.
5. Grab the token keys for the web platform and configure them as the environment variables.
6. Create the .env file and paste all the credentials as mentioned in the sample.env file.

• PaLM API

1. Register for MakerSuite account for access to PaLM API(waiting list)
2. Generate API keys from the dashboard
3. This will give you access to the PaLM API which powers Google Generative AI technologies like Bard AI, etc.

Contributing

Report any issues or bugs in the app by creating an issue here

References and Credits

This refine project was generated with superplate.

To learn more about refine, please check out the Documentation

• Appwrite Data Provider Docs
• Material UI Docs
• Inferencer Docs
• i18n Docs

For the project-specific dependencies:

• Appwrite Docs
• PaLM API Docs