prodigy installation without pip

[nlp_newbie (Brendan)]

Hi Guys,

My company bought 10 licenses for prodigy, but I'm struggling to get these installed.

I'm working on a secure network, and we're not allowed to use pip to install software. The pypi site is blocked by our corporate firewall, and this is unlikely to change given the recent discovery of malware on it.

However, I am able to use the Anaconda repositories on my corporate network, and we have professional licenses for the conda suite.

Is it possible to install prodigy and it's dependencies without using pip?

Regards,

Brendan

[ryanwesslen]

hi @nlp_newbie!

Thanks for your question and welcome to the Prodigy community

Yes - here's a recent post that outlines how to approach installing the current dependencies.

installation of prodigy on Windows 10

It looks like the problem is plac which is a dependency of Prodigy. Just curious - can you try to only install plac on its own: pip install plac? Since you can't pip install prodigy - I'm wondering if plac may be blocked too. It is possible to install Prodigy on airtight environment. Here's a post: You would need to install each of the dependencies separately. Perhaps try this first because if you find for whatever reason you can't install those dependencies like plac, it's a bit of a non-…

Most important, here are the current dependencies for v1.11.14:

spacy>=3.1.1,<3.6.0
wasabi
srsly>=2.0.0,<3.0.0
catalogue
toolz>=0.8.2,<1.0.0
plac>=0.9.6,<1.2.0
requests
pydantic>=1.10.4,<2.0
fastapi>=0.65.1,<0.95.1
aiofiles
uvicorn>=0.13.3,<0.19.0
peewee>=3.12.0,< 3.17.0
cachetools>=4.2
pyjwt<3.0.0,>=2.0.0
uvloop<=0.14.0; python_version < "3.7" and platform_system != "Windows"
jinja2
python-dotenv>=0.21.1,<2.0.0
typeguard>=3.0.2,<4.0
tqdm>=4.38.0,<5.0.0
typing_extensions<4.6.0

I don't use Anaconda, but I tried to check and it seems like these are all in conda. Can you try to install these dependencies first? Then you can install the Prodigy wheel with --no-deps.

If you can get that to run, you may also want to look into pex files to create a .pex , copy that single file over to your airtight machine and then execute it instead of the Python interpreter.

Let us know if this works!