artificial-unintelligence 0.1.2

artifical unintelligence, a funny AI

Python Package Exercise

Artifical-Unintelligence

Our Project

Our project, artifical unintelligence, builds upon the rapidly growing AI/ML field. It is an evolution (but backwards) of AI/ML. By randomly generating dubiously meaningful sentences, we can bring the field to the next level (maybe).

By: Jonathan Gao, Jason Mai, Nawab Mahmood, dibukseid

Link to PyPI website for the proj

How-To

Demo Link to example project.

Installation

In terminal or console or bash, type

pip install artificial-unintelligence

Importing and Using

In your project include

import artificial_unintelligence

from artificial_unintelligence import random_sentence_reply, get_random_word, generate_sentence, keyboard_smash

Functions

Get a random word

Use the get_random_word function. The parameters can be 'noun', 'verb', or 'adjective'.

#To get a random noun
random_noun = get_random_word('noun')
#print(random_noun) 
#The output would look something like :'dog'

#To get a random verb
random_verb = get_random_word('verb')
#print(random_noun)
#The output would look something like : 'jump' 

#To get a random adjective 
random_adjective = get_random_word('adjective')
#print(random_adjectove)
#The output would look something like 'happy'

Generate a random sentence

Use the random_sentence function to unintelligently reply to a query that is inputted as an argument into the function. It takes any string as an argument.

#Reply to a query with a randomly generated sentence. 
random_sentence = random_sentence_reply('what do you think of fishes')
#print(random_sentence)
# This output would be for example : "Quickly happy zebra loudly jumps scary car in big tree."

Generate Letter-Specific Sentences

Use the generate_sentence function to generate a sentence that all starts with the same letter. It takes an input as an argument or parameter.

# To generate a sentence where the words start with e
e_sentence = generate_sentence('e')
#print(e_sentence)
#example output would be: Electric eels emulsify eaton

Keyboard Smash (for frustration)

Use the keyboard_smash function to create a sentence where the first letter matches with the letters of the keyboard smash. It takes a string as an argument or parameter.

#to convert a keyboard smash such as 'lkjae' 
smash_text = keyboard_smash("lkjae")
print(smash_text) 
#example output would be : light kind joeys after emus

Set Up the virtual environment, install dependencies, build and test

Clone the repository

git clone https://github.com/software-students-spring2025/3-python-package-zebrazooka.git

To run, please first install pipenv in your console/terminal/bash.

Pip install pipenv

Then go to the directory where the repo clone in your computer's terminal or console.

Install the development environment and dependencies. --dev is important for pytest.

pipenv install --dev

Install the package in development mode. If no edits would need to be made, then the -e can be removed.

pipenv install -e . 

Run the demo using pipenv

pipenv run python demo.py 

If you would like to contribute

Follow the steps to set Up the virtual environment, install dependencies, build and test , make sure to do the 'pipenv install -e .' command for easy editing.

Then create a new branch

git checkout -b newfeature

Make your updates

Run the tests

pipenv run pytest

commit the changes

git commit -m 'some new feature'

Push to the branch

git push origin newfeature

Then go to github and open a pull request.

How to import data

Our github repo already comes ready with a word bank, with this structure:

"a": {
        "nouns": ["apple", "astronaut", "ant"],
        "adjectives": ["amazing", "angry", "awesome"],
        "verbs": ["arrive", "ask", "admire"],
        "adverbs": ["anxiously", "angrily", "awkwardly"]
    },