Can't train rasa with spacyNLP

Getting Started with Rasa
1

Hello everyone, I configured my file to use SpacyNLP, I downloaded the model I needed as well. See my pipline configuration below:

pipeline: 
  - name: SpacyNLP
    model: en_core_web_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
    constrain_similarities: true
  - name: SpacyEntityExtractor
    dimensions: ["PERSON", "LOC", "ORG"] 
  - name: EntitySynonymMapper
  - name: ResponseSelector
    epochs: 100
    constrain_similarities: true
  - name: FallbackClassifier
    threshold: 0.3
    ambiguity_threshold: 0.1

But I keep getting this error:

raise GraphSchemaValidationException(
rasa.engine.exceptions.GraphSchemaValidationException: Your model uses a component 'SpacyNLP' which needs the param 'model' to be provided to its method 'process'. Please make sure that you registered your component correctly and and that your model configuration is valid.See https://rasa.com/docs/rasa/custom-graph-components for more information.

This is the rasa version that I am using:

  Base: DeclarativeMeta = declarative_base()
Rasa Version      :         3.5.10
Minimum Compatible Version: 3.5.0 
Rasa SDK Version  :         3.5.1 
Python Version    :         3.10.0
Operating System  :         Windows-10-10.0.19045-SP0
Python Path       :         C:\Users\****\repo\rasa_bot\my_venv\Scripts\python.exe

I have searched for solutions online but nothing seems to work. I will appreciate any help that I can get please. Thank you

2

Update: I had to comment out the area that had user like this:

# - rule: utter_affirm anytime user says thanks
#   steps:
#   - user: "thanks" 
#   - action: utter_affirm
#   - action: utter_anything_else

I’m guessing using ‘user’ like that prevented the training from happening. I was stuck on this for 3 whole days, glad it finally worked.