New Sep 3, 2024

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

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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

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