Changing Stanza model directory for pyinstaller executable

I have an application that analyses text looking for keywords using natural language processing. I created an executable and it works fine on my computer. I’ve sent it to a friend but in his computer he gets an error:

Traceback (most recent call last):
  File "", line 15, in <module>
  File "", line 349, in main_menu
  File "", line 262, in analyse_text_menu
  File "", line 178, in analyse_text_function
  File "", line 232, in process_text
  File "", line 166, in generate_keyword_complete_list
  File "", line 135, in lemmatize_text
  File "", line 88, in _init_
stanza.pipeline.core.ResourcesFileNotFoundError: Resources file not found at: C:Usersjpovoasstanza_resourcesresources.json  Try to download the model again.
[26408] Failed to execute script 'Main' due to unhandled exception!

It’s looking for resources.json inside a folder in his computer. Even though I’ve added stanza as a hidden import with pyinstaller.

I’m using a model in another language, as opposed to the default one in english. The model is located in a folder inside the User folder.

The thing is, I don’t want the end user to have to download the model separatedly.

I’ve managed to include the model folder with --add-data C:UsersLailastanza_resourcespt;Stanza" when creating the executable.

It still looks for the model’s json file inside the stanza_resources folder that’s should be inside the User folder of whoever is using the program.

How do I tell stanza to look for the model inside the executable folder generated instead?

Can I just add"language") in my script? If so how do I change stanza’s model download folder? I want it to be downloaded into a folder inside the same directory as the executable. How do I do that?

Thank you


Edit: It would be possible to change the location of the model download by doing the following:"pt", model_dir=...)

It wouldn’t be the ideal solution for me though, because I’d like to avoid having to download the model again.

I solved it by passing a value to the model_dir argument when making a pipeline:

npl = stanza.Pipeline(lang='Pt', model_dir='.\Stanza')

Inside the folder called Stanza I’ve placed both the model folder (in this case “pt”) and the resources.json file.