MissingDependencyException spacy

Rasa Open Source
1

I have the following pipeline in my config.yml:

language: nl

Option 1 spacy pipeline

pipeline:

  • name: SpacyNLP model: “nl_core_news_md” case_sensitive: False
  • name: SpacyTokenizer
  • name: SpacyFeaturizer
  • name: RegexFeaturizer
  • name: LexicalSyntacticFeaturizer
  • name: CountVectorsFeaturizer
  • name: CountVectorsFeaturizer analyzer: “char_wb” min_ngram: 1 max_ngram: 4
  • name: DIETClassifier epochs: 100
  • name: EntitySynonymMapper
  • name: ResponseSelector epochs: 100

When I give the rasa train command, I get the following error message:

(venv) D:<pathtoapp>>rasa train The configuration for policies was chosen automatically. It was written into the config file at ‘config.yml’. 2021-03-05 14:36:45 INFO rasa.model - Data (stories) for Core model section changed. 2021-03-05 14:36:45 INFO rasa.model - Data (nlu-config) for NLU model section changed. Training NLU model… MissingDependencyException: Not all required importable packages are installed to use the configured NLU pipeline. To use this pipeline, you need to install the missing modules:

  • spacy (needed for SpacyNLP) Please install the packages that contain the missing modules.

However spacy has already been installed in the venv using pip install spacy.

What could be wrong?

2

Could you try:

pip install rasa[spacy]

Also, could you run:

rasa --version
3

I have run pip install rasa[spacy]. I run rasa version which resulted in: D:\VirtualAgent\pythoncomponents\voicebot4>rasa --version Rasa Version : 2.1.1 Rasa SDK Version : 2.1.2 Rasa X Version : None Python Version : 3.7.9 Operating System : Windows-10-10.0.19041-SP0 Python Path : c:\users\roelb\python37\python.exe

I run rasa train again and this gives the same result

4

In the mean time I have upgraded rasa to version 2.4.0 and performed a new rasa train with the spacy pipeline. The aforementioned error has now disappeared. So the issue seems resolved.