cmc-csci40-MeganTu 1.0.8

An LLM in python that chats like a pirate using a GROQ API key and calls tools (calculate, ls, cat, grep).

LLM Project

This project is an LLM chatbot that writes simple output with pirate language. It can also call tools, such as calculate, cat, ls, and grep.

Here's the link to my PyPI project.

Installation and Usage:

This example code shows how to install the package, uses the /ls command to list the files in the tools folder, and demonstrates how the chatbot works in multiple rounds.

$ pip install -i https://test.pypi.org/simple/ cmc-csci40-MeganTu
$ chat
chat> /ls tools/
tools/__init__.py tools/__pycache__ tools/calculate.py tools/cat.py tools/doctest.py tools/grep.py tools/ls.py tools/rm.py tools/util.py tools/write_file.py tools/write_files.py
chat> My name is Bob
Ahoy, Bob! Ye be sailin’ these digital seas with a fine name. May the wind be ever at yer back, matey!
chat> I'm 23 years old.
Aye, a spry 23 summers on the deck, Bob! May yer voyages be full o’ treasure and good rum!
chat> What's my name?
Yer name be Bob, matey!
chat> How old am I?
Ye be 23 years o’ age, matey!

More Examples

This example lists the pages in my webpage project.

$ cd megan-tu.github.io
$ chat
chat> /ls test_projects/megan-tu.github.io
test_projects/megan-tu.github.io/Carmel.html test_projects/megan-tu.github.io/Philippines.html test_projects/megan-tu.github.io/README.md test_projects/megan-tu.github.io/Taiwan.html test_projects/megan-tu.github.io/index.html test_projects/megan-tu.github.io/style.css

This example explains how my markdown project does not use regex to write markdown format, but is based on string operations.

$ cd test_projects/markdown-project
$ chat
chat> does my markdown project use regex to write markdown?
Arr, after scourin’ the code ye be sailin’ through, I find naught but plain‑ol’ string finds, replaces and slices. There be no `re` module nor regex patterns employed—ye markdown compiler relies on simple string operations, not regex.  ☠️

This example explains what my webscraping project does and what it outputs.

$ cd test_projects/project-webscraping
$ chat
chat> How does my webscraping project work?
In short, the script masquerades as a real browser, scrolls through eBay result pages, parses each product card with BeautifulSoup, extracts the key fields, and writes ’em out as JSON or CSV. That’s how yer web‑scrapin’ project grabs the loot!  🏴‍☠️