On rasa shell, I am not getting right response from bot

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1

I have created rasa project using rasa init and added some actions and intent in domain.yml and nlu.md also created story. training is successfully done, but when i run rasa using shell it gives me wrong response.

latest rasa version.

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This is my stories.md file:

happy path

  • greet
    • utter_greet
  • mood_great
    • utter_happy

sad path 1

  • greet
    • utter_greet
  • mood_unhappy
    • utter_cheer_up
    • utter_did_that_help
  • affirm
    • utter_happy

sad path 2

  • greet
    • utter_greet
  • mood_unhappy
    • utter_cheer_up
    • utter_did_that_help
  • deny
    • utter_goodbye

say goodbye

  • goodbye
    • utter_goodbye

bot challenge

  • bot_challenge
    • utter_iamabot

cypha app

  • cypha_app
    • action_recording

nlu.md file:

intent:greet

  • hey
  • hello
  • hi
  • good morning
  • good evening
  • hey there

intent:goodbye

  • bye
  • goodbye
  • see you around
  • see you later

intent:affirm

  • yes
  • indeed
  • of course
  • that sounds good
  • correct

intent:deny

  • no
  • never
  • I don’t think so
  • don’t like that
  • no way
  • not really

intent:mood_great

  • perfect
  • very good
  • great
  • amazing
  • wonderful
  • I am feeling very good
  • I am great
  • I’m good

intent:mood_unhappy

  • sad
  • very sad
  • unhappy
  • bad
  • very bad
  • awful
  • terrible
  • not very good
  • extremely sad
  • so sad

intent:bot_challenge

  • are you a bot?
  • are you a human?
  • am I talking to a bot?
  • am I talking to a human?

intent: cypha_app

  • How can I submit my recordings?
  • How to add effects in audio recording?
  • How to signin into app?
  • How to signup?

domain.yml file:

intents:

  • greet
  • goodbye
  • affirm
  • deny
  • mood_great
  • mood_unhappy
  • bot_challenge
  • cypha_app

actions:

  • utter_greet
  • utter_cheer_up
  • utter_did_that_help
  • utter_happy
  • utter_goodbye
  • utter_iamabot
  • action_recording

templates: utter_greet:

  • text: “Hello! Welcome to Cypha. How may i help you”

utter_cheer_up:

  • text: “Cheers!:”

utter_did_that_help:

  • text: “Did that help you?”

utter_happy:

  • text: “Great, carry on!”

utter_goodbye:

  • text: “Bye”

utter_iamabot:

  • text: “I am a bot, powered by Cypha.”

session_config: session_expiration_time: 60 carry_over_slots_to_new_session: true

Please help.

Thank you!

2

Hi @surajsonee. First of all, great job on describing the situation and providing the files - it made it very easy to investigate and replicate the project :slight_smile:

I think the main reason why your bot behaves in a bit unpredictable way is because you don’t have any stories which include cypha_app intent apart from the that short one called “cypha app”. By default, Rasa augments your training data by putting together the stories you have in your training data file, that’s why your assistant didn’t completely fail, but you shouldn’t rely on data augmentation to teach your assistant to handle important dialogue turns. I would suggest adding at least one longer training story which would include cypha_app intent. For example:

* greet
 - utter_greet
* cypha_app
 - action_recording
...

Another thing - in the conversation you had with your assistant you said “Ok, great”. This message will most likely be classified as “mood_great” since you don’t have any other intent to capture thank you’s and similar inputs. This very likely also messes up the predictions as well. I would suggest creating an intent “thank you” for that or something similar and adjust the stories accordingly.