detect ranges filter with nltk

is_rage.py

import nltk

from typing import List,Union, Dict, TypedDict, Any

nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')


def is_range_value(sentence: str) -> bool : 
    tokens: List[str] = nltk.word_tokenize(sentence)
    taggeds = nltk.pos_tag(tokens)

    cds = list(filter(lambda tagged_token: tagged_token[1] == 'CD', taggeds))
    if len(cds) > 1:
        return True
    else:
        return False

examples: List[Dict[str, Any]] = [
    {
        "message": "5 a 10 kg", 
        "is_range": True,
    }
]

for example in examples:
    print(example)
    print(
        is_range_value(
            example["message"]
        )
    )