Overview of My Submission
How many times you're in a meeting and receives and Audio Message? you can't take your phone and listen it, needs to finish the meeting and then listen.
Lorita-Bot transcribe that Audio Message to text, and you cand read it without listen it.
Submission Category:
Wacky Wildcards
Link to Code on GitHub
Lorita is like a parrot repeat as you say it but in this case reply in text
📝 Table of Contents
-
About The Project
-
Getting Started
- Usage
- Roadmap
- Contributing
- License
- Contact
- Acknowledgments
💡 About The Project
How many times you're in a meeting and receives and Audio Message? you can't take your phone and listen it, needs to finish the meeting and then listen.
Lorita-Bot transcribe that Audio Message to text, and you cand read it without listen it.
(back to top)
⛏️ Built With
(back to top)
🏁 Getting Started
This is an example of how you may give instructions on setting up your project locally or in a Server.
Prerequisites
Depends of how do you want deploy it:
Additional Resources / Info
Demo available https://lorita-bot.olidroide.es
Introduction
I found this Hackathon on DEV and I decide to participate because I never do any before. So... why not? I'm very happy to participate and share my experience with this small POC.
My Deepgram Use-Case
As you can see on the README of the project, my main inspiration is the audios received in messaging app, and that's moments than you can't listen it but need to check the content of that audio because the sender is someone important for you.
Dive into Details
The main challenge here is use a WhatsApp bot, because this platform doesn't offer a developers tools to make one. So I decide to use Twilio platform, also I started with the idea of use other API messaging like MessageBird, but I leave this idea for improvements.
For this reason I implement also a Telegram Bot, because is more developer friendly to do this kind of stuff.
Another challenge is learn some of next.js framework, and offer this solution to anyone in a multiplatform Docker image (Arm & Intel/AMD64 because is the main architecture of backend) and learn how to GitHub Actions work to do a CI/CD.
Conclusion
A small demo in production is available here:
https://lorita-bot.olidroide.es
