config.py

from sentence_transformers import SentenceTransformer

ST_EMBEDDING_MODEL = "all-mpnet-base-v2"
OPENAI_EMBEDDING_MODEL = "text-embedding-ada-002"


def get_st_model(model: str = ST_EMBEDDING_MODEL) -> SentenceTransformer:
    return SentenceTransformer(model)

BOOKS = [
    '', # placeholder as book index stored starts at 1
    'Genesis',
    'Exodus',
    'Leviticus',
    'Numbers',
    'Deuteronomy',
    'Joshua',
    'Judges',
    'Ruth',
    '1 Samuel',
    '2 Samuel',
    '1 Kings',
    '2 Kings',
    '1 Chronicles',
    '2 Chronicles',
    'Ezra',
    'Nehemiah',
    'Esther',
    'Job',
    'Psalms',
    'Proverbs',
    'Ecclesiastes',
    'Song of Solomon',
    'Isaiah',
    'Jeremiah',
    'Lamentations',
    'Ezekiel',
    'Daniel',
    'Hosea',
    'Joel',
    'Amos',
    'Obadiah',
    'Jonah',
    'Micah',
    'Nahum',
    'Habakkuk',
    'Zephaniah',
    'Haggai',
    'Zechariah',
    'Malachi',
    'Matthew',
    'Mark',
    'Luke',
    'John',
    'Acts',
    'Romans',
    '1 Corinthians',
    '2 Corinthians',
    'Galatians',
    'Ephesians',
    'Philippians',
    'Colossians',
    '1 Thessalonians',
    '2 Thessalonians',
    '1 Timothy',
    '2 Timothy',
    'Titus',
    'Philemon',
    'Hebrews',
    'James',
    '1 Peter',
    '2 Peter',
    '1 John',
    '2 John',
    '3 John',
    'Jude',
    'Revelation'
]