This code is meant to slot old members into sites given a .csv file of their preferences. To do this, we take advantage of OpenAI's GPT models. Our results may (actually they probably will) be incorrect on the first pass, so the Sites Officer should look over and revise the output generated by this code. ALSO, this code will cost about $0.10 to run once, so keep that in mind before running multiple trials.
Given N
old members, each of the N
members will rank their top 5 sites. Our input should be a .csv
file of this data, in which the form should have columns NAME
, SITE #1
, ..., SITE #i
, and rows PERSON 1
, ..., PERSON N
.
NOTE: Our data is not JSON, this is just an easy way to see the structure of data.
row = {'Jacob Aldrich':
{'Site #1': None},
{'Site #2': 1},
{'Site #3': 3},
...
{'Site #i': 2}
}
Given M
new members, each of the M
members will rank their top 5 sites. Our input should be a .csv
file of this data, in which the form should have the same format as old members.
To run the code, type this in your terminal:
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
then proceed to run usage.ipynb
on your own .csv
file. Some data cleaning may be necessary.