AssemblyAI Launches Starter App for Encore to Simplify Speech AI Development
AssemblyAI has unveiled a new starter app for Encore, aiming to simplify the process of developing and deploying Speech AI applications. This new tool is designed for Go developers and offers a comprehensive solution to transcribe audio files and analyze conversations, according to AssemblyAI.
What is Encore?
Encore is a development platform that facilitates the creation and management of APIs and event-driven systems. With a generous free tier, it is particularly appealing for developers working on prototypes or hobby projects. The platform streamlines the process of getting a Speech AI application up and running, making it easy to share with team members or friends.
Introducing the AssemblyAI Starter App
The newly introduced assemblyai-starter
app allows developers to bootstrap a Speech AI application using a single command. To get started, users need to install the Encore CLI:
- macOS:
brew install encoredev/tap/encore
- Windows:
iwr https://encore.dev/install.ps1 | iex
- Linux:
curl -L https://encore.dev/install.sh | bash
Once installed, developers can create an Encore app from the AssemblyAI starter template and configure it using their AssemblyAI API key and webhook secret. The app can then be deployed with a simple Git push command.
How to Use the App
The AssemblyAI starter app features a user-friendly interface to upload local audio files for transcription. The app supports Speaker Diarization, allowing users to identify who spoke and when. Transcriptions are managed through a straightforward UI, where users can upload files, monitor transcription status, and view completed transcriptions.
App Architecture Overview
The app architecture comprises three main components:
- A frontend built with React and Tailwind CSS
- A backend developed using Go and the AssemblyAI Go SDK
- A PostgreSQL database to store completed transcripts
The workflow involves uploading audio files through the frontend, which are then submitted to AssemblyAI for transcription via the backend. Once the transcription is complete, the data is stored in the database, and the frontend retrieves and displays the transcribed conversation.
To avoid constantly polling AssemblyAI for updates, the app uses webhooks to notify the backend when a transcription is ready.
Developing Locally
For local development, Docker is required to replicate the cloud environment. Developers can run the application locally with the encore run
command, which sets up a Docker-based environment mirroring the cloud setup. Any backend changes will build and restart the service automatically, while frontend changes require a rebuild using npm run build
.
Summary
The AssemblyAI starter app for Encore offers a robust starting point for Go developers interested in exploring Speech AI. With easy setup and comprehensive features, it simplifies the process of building, deploying, and managing Speech AI applications.
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