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| /* | |
| *** Academy Engraved LET *** | |
| AcademyEngravedLetPlain | |
| --------------------- | |
| *** Al Nile *** | |
| AlNile | |
| AlNile-Bold | |
| --------------------- | |
| *** American Typewriter *** | |
| AmericanTypewriter |
UPDATE: I have baked the ideas in this file inside a Python CLI tool called pyds-cli. Please find it here: https://github.com/ericmjl/pyds-cli
Having done a number of data projects over the years, and having seen a number of them up on GitHub, I've come to see that there's a wide range in terms of how "readable" a project is. I'd like to share some practices that I have come to adopt in my projects, which I hope will bring some organization to your projects.
Disclaimer: I'm hoping nobody takes this to be "the definitive guide" to organizing a data project; rather, I hope you, the reader, find useful tips that you can adapt to your own projects.
Disclaimer 2: What I’m writing below is primarily geared towards Python language users. Some ideas may be transferable to other languages; others may not be so. Please feel free to remix whatever you see here!
| ;What does this script do? | |
| ;It's a workaround for broken G910 Logitech keyboards (possibly other keyboards too) whereby some keys occasionally register multiple keystrokes for one kkkkkeypress. | |
| ;The key bug appears because keyboard registers multiple keystrokes in a very short timespan even though you pressed the key only once. | |
| ;This script makes it so the subsequent keystrokes registered in a very short timespan are ignored thus outputing the key only for the first stroke. | |
| ;List all your broken keys between quotes below. I.e. if your broken keys are g and f then the line below shoud be | |
| ;brokenKeys := "gf" | |
| brokenKeys := "gf" | |
| # Disclamer: This code is not written by me. Its taken from https://github.com/imartinez/privateGPT/pull/91. | |
| # All credit goes to `vnk8071` as I mentioned in the video. | |
| # As this code was still in the pull request while I was creating the video, did some modifications so that it works for me locally. | |
| import gradio as gr | |
| from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler | |
| from langchain.chains import RetrievalQA | |
| from langchain.embeddings import LlamaCppEmbeddings | |
| from langchain.llms import GPT4All, LlamaCpp | |
| from langchain.vectorstores import Chroma |