💭 Introduction

Appwrite Functions allow you to extend and customize your Appwrite server functionality by executing your custom code 🤩 You can learn more in our official Appwrite Functions docs.

The backbone of Appwrite Functions is Open Runtimes, an environment for serverless cloud computing. Since all Open Runtime functions are valid Appwrite functions, we are looking for contributors to extend the Open Runtimes Examples repository.

Your task is to implement deepgramLanguageDetection() function using Kotlin. Please make sure to look at existing function examples and use them as a template for your function. This will help you keep the proper structure as well as provide information on how to test the function.

⚡ Function Details

Detect a language from spoken audio. If necessary, introduce Deepgram API secret keys as function variables. The payload must accept a WAV file URL, and the response from Deepgram should be returned.

Example function payload:

{"fileUrl":"https://static.deepgram.com/examples/interview_speech-analytics.wav"}

Successful function response:

{"success":true,"deepgramData":{}}

Error function response:

{"success":false,"message":"Please provide a valid file URL."}

🎯 Requirements

• Experience with Appwrite.
• Experience with Kotlin.
• Knowledge to implement deepgramLanguageDetection function.
• Experience with Docker.

✅ Task Summary

• Ask to be assigned to the issue.
• Implement function deepgramLanguageDetection() in Kotlin/ folder.
• Manually execute the newly implemented function to ensure it works.
• Submit a pull request in open-runtimes/examples and include screenshots of successful execution.

If you have questions, need any help, or just want to hang out, make sure to join us on our Discord server.

Happy Appwriting!