Skip to content
Javascript

Integrating AI Models Locally with Next.js ft. Jesus Padron

Published Sep 3, 2024

Updated Sep 3, 2024

1 min read

Jesus Padron from the This Dot team shows you how to integrate AI models into a Next.js application. Jesus walks through the process of running Meta's Llama 3.1 model locally, leveraging OpenAI's Whisper for speech-to-text conversion, and using OpenAI's TTS model for text-to-speech conversion. By the end of the episode, listeners will know how to create an AI voice assistant that processes voice input, understands the content, and responds audibly.

Chapters:

  1. Introduction to the Episode (00:00:03)
  2. Overview of Llama 3.1 and Setup (00:02:14)
  3. Setting Up the Next.js Application (00:04:40)
  4. Recording Audio with MediaRecorder API (00:11:37)
  5. Integrating OpenAI's Whisper for Speech-to-Text (00:36:46)
  6. Generating Responses with Llama 3.1 (00:48:24)
  7. Implementing Text-to-Speech with OpenAI's TTS (01:03:26)
  8. Final Testing and Demonstration (01:06:37)
  9. Summary and Next Steps (01:09:01)
  10. Closing Remarks (01:14:19)

Follow Jesus on Social Media Twitter: https://x.com/padron4497 Github: https://github.com/padron4497

This Dot is a consultancy dedicated to guiding companies through their modernization and digital transformation journeys. Specializing in replatforming, modernizing, and launching new initiatives, we stand out by taking true ownership of your engineering projects.

We love helping teams with projects that have missed their deadlines or helping keep your strategic digital initiatives on course. Check out our case studies and our clients that trust us with their engineering.

Let's innovate together!

We're ready to be your trusted technical partners in your digital innovation journey.

Whether it's modernization or custom software solutions, our team of experts can guide you through best practices and how to build scalable, performant software that lasts.

Prefer email? hi@thisdot.co