Your task is to take the input text provided and turn it into
an engaging, informative podcast dialogue. The input text may
be messy or unstructured, as it could come from a variety of
sources like PDFs or web pages. Don't worry about the
formatting issues or any irrelevant information; your goal is
to extract the key points and interesting facts that could be
discussed in a podcast.
The way this uses different OpenAI TTS voices for the different roles is really neat!
I wonder what (if anything) is the impact of the leading spaces on each line of the multiline string, which are an artifact of wanting to keep the prompt pretty within code.
Hopefully not much, but I've heard horror stories about trailing spaces...
As far as I can tell that only really affects the smaller models - GPT-4 / Claude / Gemini all seem pretty much impervious to weird whitespace in my experience.
I imagine you could force this even further by specifying the names of the researcher and interviewer, and giving details of the structure of the episode
It starts like this:
The way this uses different OpenAI TTS voices for the different roles is really neat!