Does this work on spacy 3?

[dhirajsuvarna]

Hi,

I tried to use this in spacy 3, however, I got an error as spacy 3 has change add_pipe api inputs.

ValueError: [E966] `nlp.add_pipe` now takes the string name of the registered component factory, not a callable component. Expected string, but got <spacy_langdetect.spacy_langdetect.LanguageDetector object at 0x000001BF616DAF10> (name: 'language-detector').

- If you created your component with `nlp.create_pipe('name')`: remove nlp.create_pipe and call `nlp.add_pipe('name')` instead.

- If you passed in a component like `TextCategorizer()`: call `nlp.add_pipe` with the string name instead, e.g. `nlp.add_pipe('textcat')`.

- If you're using a custom component: Add the decorator `@Language.component` (for function components) or `@Language.factory` (for class components / factories) to your custom component and assign it a name, e.g. `@Language.component('your_name')`. You can then run `nlp.add_pipe('your_name')` to add it to the pipeline.

[haris525]

Yes it seems to be the old code...I didn't have time to figure out the exact issue, but you can use this code, and it will work.

import spacy 
nlp = spacy.load("en_core_web_sm") 
nlp.add_pipe("language_detector") 
doc = nlp('This is a second and this is another text') 
print(doc._.language)

[djohn156]

Hi, this didn't help for me, but this issue provided the right solution.