This is very hard to follow. You don't explain the intent and purpose of what you're doing or show what files you'll be working with, let alone *why* you're doing what you're doing. Only someone who is either very familiar with these scripts and coding for AI or very patient and determined could follow these instructions. Please, go slower and explain more.
Thanks for the feedback. I did another video introducing PhiData over here - ruclips.net/video/V9rB3OkyanA/видео.html - and I wasn't sure whether to explain again some of the stuff I did in that video. Or maybe I should have referenced that video earlier and suggested people look at that one if they hadn't done anything with agents before? Or perhaps I should have done a brief recap of what was covered in that video as a middle ground.
My favorite youtuber and favorite library, what can go wron here? hahaha
Mark - you are the best.
This is exactly what I was looking for! Thanks a lot. Could you also provide a Github repository that can be clone to play with it?
Yup. Code is here - github.com/mneedham/LearnDataWithMark/tree/main/phidata-streamlit
This is very hard to follow. You don't explain the intent and purpose of what you're doing or show what files you'll be working with, let alone *why* you're doing what you're doing. Only someone who is either very familiar with these scripts and coding for AI or very patient and determined could follow these instructions. Please, go slower and explain more.
Thanks for the feedback. I did another video introducing PhiData over here - ruclips.net/video/V9rB3OkyanA/видео.html - and I wasn't sure whether to explain again some of the stuff I did in that video.
Or maybe I should have referenced that video earlier and suggested people look at that one if they hadn't done anything with agents before? Or perhaps I should have done a brief recap of what was covered in that video as a middle ground.