Example: Text Classification

This example demonstrates how to use the emulate function combined with an Enum class. OpenHosta natively understands Enums, which restricts the choices an LLM can provide, making it an excellent tool for classification.

Code

from OpenHosta import emulate
from enum import Enum

class DocumentType(Enum):
    OLD_BOOK = "old_book"
    ARTICLE = "article"
    REPORT = "report"
    THESIS = "thesis"

def classify_document(text_preview: str) -> DocumentType:
    """
    Classifies the document based on the content of the text preview.
    """
    return emulate()

text = "This paper explores the theoretical underpinnings of semantic parsing..."
result = classify_document(text)

print(result) 
# <DocumentType.ARTICLE: 'article'>