Build A Transcription App with Strapi, ChatGPT, & Whisper: Part 1

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  • axios

    Promise based HTTP client for the browser and node.js

    Let's install some of the libraries we will use on the frontend. First, we need recordrtc, which will handle the recording process and give us access to raw data captured from the device's microphone. Next, we will use lamejs, which will help us process the data to encode it into MP3 format. We will also need axios to make network calls to OpenAI whisper, so run the following command in the terminal to install these libraries.

  • SaaSHub

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  • transcribe-tutorial

    Github link to the complete code.

  • vercel

    Develop. Preview. Ship.

    Strapi Cloud is a cloud platform that makes it simple for developers to create, launch, and maintain online apps and services; this is where we will host the Strapi backend for the app (We will use Vercel or Netlify for the frontend). Visit Strapi Cloud to learn more about Strapi Cloud pricing and more.

  • Strapi

    🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript/TypeScript, fully customizable, and developer-first.

    Strapi or Strapi CMS is an open-source headless content management system allowing us to quickly create APIs. We will use Strapi CMS to build our custom API, which will access ChatGPT, and we will use Strapi CMS to store data about the transcriptions, such as conversation history.

  • Next.js

    The React Framework

    Next.js is a React framework that simplifies the development of complex and high-performance web applications. It offers many built-in features, such as server-side rendering, automatic code splitting, image optimization, and API routes.

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