For environments with restricted internet access (like or some corporate servers), you can manually download the data and bundle it with your code. Run python -m nltk.downloader punkt on your local machine. Locate the nltk_data/tokenizers/punkt folder.
import nltk import os nltk.data.path.append(os.path.join(os.getcwd(), 'nltk_data')) Use code with caution. Comparison of Methods python - Docker NLTK Download - Stack Overflow nltk.download('punkt') in requirements.txt
To automate the download of the tokenizer (essential for sentence and word splitting) during deployment, you must use alternative orchestration methods depending on your environment. Why You Can't Use requirements.txt For environments with restricted internet access (like or
The requirements.txt file only supports packages hosted on repositories like PyPI or direct URLs to package archives. Since punkt is a data model rather than a Python library, pip cannot interpret it as a dependency. Solution 1: Using a Supplementary nltk.txt (Heroku) import nltk import os nltk