fix: drop age for now, since spacy is broken(?).

common/speech/lasr_rasa/assistants/receptionist/config.yml

@@ -11,20 +11,27 @@ assistant_id: receptionist
 language: en
 
 pipeline:
-  - name: SpacyNLP
-    model: "en_core_web_md"
-  - name: SpacyTokenizer
-  - name: SpacyEntityExtractor
-    dimensions: ["CARDINAL"]
-  - name: SpacyFeaturizer
-    pooling: mean
-  - name: CountVectorsFeaturizer
-    analyzer: "char_wb"
-    min_ngram: 1
-    max_ngram: 4
-  - name: DIETClassifier
-    epochs: 100
-  - name: EntitySynonymMapper
+# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
+# # If you'd like to customize it, uncomment and adjust the pipeline.
+# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
+#   - name: WhitespaceTokenizer
+#   - 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: EntitySynonymMapper
+#   - name: ResponseSelector
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: FallbackClassifier
+#     threshold: 0.3
+#     ambiguity_threshold: 0.1
 
 
 # Configuration for Rasa Core.

common/speech/lasr_rasa/assistants/receptionist/data/nlu.yml

@@ -33,10 +33,4 @@ nlu:
     - My name is [Adel](name)
     - It's [Jane](name)
     - I am [Paris](name)
-    - I'm [Robin](name)
-
-- intent: age
-  examples: |
-    - I am 18 years old
-    - 23
-    - I am 21
+    - I'm [Robin](name)

common/speech/lasr_rasa/assistants/receptionist/domain.yml

@@ -3,7 +3,6 @@ version: "3.1"
 intents:
   - fav_drink
   - name
-  - age
 entities:
   - drink
   - name