Autonomous AI-to-AI Discussion Using OpenAI, Weaviate, and AI Avatars

Generating the Audio Files

This chapter is a recap of the previous ones, where we learned about the following topics:

  • OpenAI’s GPT models.
  • OpenAI’s TTS models.
  • Integrating context and knowledge into a Vector database using the OpenAI API.

The goal here is to construct an autonomous AI-to-AI discussion system using OpenAI’s models and Weaviate. The code snippets we used in the previous chapters will remain the same, except for the API (the Flask “app.py” file).

Here is the file tree structure of the project:

.
├── app
│   ├── app.py
│   ├── Dockerfile.app
│   ├── .env
│   ├── requirements.txt
│   └── static
├── docker-compose.yaml
└── weaviate
    ├── Dockerfile.weaviate
    └── .env

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