Python s/w for DAC-016 Williams project

[TonyWildish-BH]

From Osita, there are problems installing some of the s/w he needs:

Pip and conda works alright to download and install the packages. When it comes to using it, it does require we download additional data. They were all installed successfully on a Linux machine I deployed today.

These NLP tools were trained on a lot of datasets and models. A complete list for NLTK is posted here https://www.nltk.org/nltk_data/. After installation, you need to import nltk (which already works) and the run nltk.download() to get these additional data.

https://www.nltk.org/data.html gives an instruction on how to manually install the data. Likewise Spacy, https://spacy.io/usage/models and Huggingface https://huggingface.co/docs/transformers/main/en/installation .