/botfront-example

Primary LanguagePython

botfront-example

This is botfront example project, in which we try to add new rasa-components and rasa-actions.

Build docker image for ner-service

To use the custom_entities in the rasa pipeline, you need to build another docker image using- https://github.com/patelrajnath/ner_service

Run the botfront project

$git clone https://github.com/patelrajnath/botfront-example.git
$cd botfront-example
## Start all the services
$botfront up

Now, the front-end will be accessible at- http://localhost:8888/

Pipeline with custom classifier

pipeline:
  - name: WhitespaceTokenizer
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: flask_serving_classifier
  - name: rasa_addons.nlu.components.gazette.Gazette
  - name: >-
      rasa_addons.nlu.components.intent_ranking_canonical_example_injector.IntentRankingCanonicalExampleInjector
  - name: EntitySynonymMapper

Pipeline with custom ner+classifier

pipeline:
  - name: WhitespaceTokenizer
  - name: RemoteSpacyCustomNER
    dropout: 0.1
    accumulate_gradient: 1
    patience: 100
    max_epochs: 0
    max_steps: 500
    eval_frequency: 100
  - name: LexicalSyntacticFeaturizer
  - name: CountVectorsFeaturizer
  - name: CountVectorsFeaturizer
    analyzer: char_wb
    min_ngram: 1
    max_ngram: 4
  - name: flask_serving_classifier
  - name: rasa_addons.nlu.components.gazette.Gazette
  - name: >-
      rasa_addons.nlu.components.intent_ranking_canonical_example_injector.IntentRankingCanonicalExampleInjector
  - name: EntitySynonymMapper