I’ve written several python scripts to extend the capabilities of a text to speech AI using an offline Llama2 70B model. It takes enthusiast level hardware to run. The few errors it makes in code snippets it can also correct by pasting the terminal error message and prompting.

I don’t write python, haven’t had to go online to look up anything about Python syntax, and have a script that can take any text and convert it to speech, convert any wave file into text, or concatenate any wave files.

It takes larger models and some testing to find a good combination for a task. It also helps to use a model that is not subject to public spotlight and political pressure like GPT or Bard. The tiny models like 7B’s and 13B’s are like talking to children or teenagers.