I wish to have a form, where I collect the personal details of the user and the last slot of the form is a boolean value which asks the user if he/she wants to add another user. If the answer is yes, then I have to run the form again so that the slots get filled again. The slots are list type so that I can add multiple entry to a slot. How can I achieve this?
Do you want to set the slots to
None so they can be filled again or add the new values to the existing lists in the slots?
When a form is active it asks for slots that haven’t been filled yet, I don’t think you can ask for a slot that already contains a list.
Ok…so how can I enter multiple values to a list during a single entry. When I tried to enter using commas it takes commas as part of the string
You have to define your slot as a list in you domain, note that you will also have to define an entity that represents the elements of the list
shopping_list: type: list mappings: - type: from_entity entity: groceries
And then add examples in the nlu file like this:
- I have to buy [eggs](groceries), [milk](groceries) and [cookies](groceries)
I wish to take data from text not from entity
so you mean a list slot can contain multiple entitites as list and not a single slot which can hold multiple values?
If you want to extract data from the text without an entity you should define a extraction function.
In the actions file, within the validation class of the form you must define the function extract_slot, and define how the values of the user’s text are extracted.
For example if they are fixed values you can search for those values and store them in a list.
Yes, a text type slot can contain a list, but in string format.
For example, with the shopping list that I told you about before.
If you defined the list type slot it would be
['eggs', 'milk', 'cookies']
If you defined it as text type it would be:
'eggs, milk and cookies'
names: type: list influence_conversation: True mappings: - type: from_text conditions: - active_loop: booking_details_form requested_slot: names
this is what I have been using and it returns a string. so the only way possible is to use from_entity right?
No, you could define the function to extract the slot in your actions file or you could use the entity, for this case I think the entity would be the most useful.
If you use the entity you should define the entity
name to extract names from the text and be able to store them in the slot
names: type: list influence_conversation: true mappings: - type: from_entity entity: name
Also, you will need to add some instances of the entity
name in the nlu file
But while defining an entity…the model only validates those examples which we gave…but in my case the names should be anything that the user gives…because names can be anything right…that’s why I used text. Is there a way to define an entity which takes any given name?
No, by defining examples it then extracts similar things from the text using machine learning.
Here it defines a bit how DIET works Components
but I recommend you watch the video in which they explain it to fully understand how it works https://www.youtube.com/playlist?list=PL75e0qA87dlG-za8eLI6t0_Pbxafk-cxb
It is true that it does not always identify them correctly, but the more and varied examples they are, the better it will work.
will check out…thanks for taking time to explain😀