added pipeline configurations and updated the action server endpoint

config.yml

@@ -1,33 +1,30 @@
-# The config recipe.
-# https://rasa.com/docs/rasa/model-configuration/
 recipe: default.v1
-
-# Configuration for Rasa NLU.
-# https://rasa.com/docs/rasa/nlu/components/
 language: en
 
 pipeline:
-# # 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
+  - name: RegexEntityExtractor
+    case_sensitive: False
+    use_lookup_tables: True
+    use_regexes: True
+    "use_word_boundaries": True
+  - 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.
 # https://rasa.com/docs/rasa/core/policies/

endpoints.yml

@@ -11,7 +11,7 @@
 # https://rasa.com/docs/rasa/custom-actions
 
 action_endpoint:
-  url: "http://rasa-actions-server/webhook"
+  url: "http://localhost:5055/webhook"
 
 # Tracker store which is used to store the conversations.
 # By default the conversations are stored in memory.