meerkat.interactive.app.src.lib.component.core.Chat

class Chat(*, df: meerkat.dataframe.DataFrame, img_chatbot: str = 'http://placekitten.com/200/300', img_user: str = 'http://placekitten.com/200/300', on_send: Optional[meerkat.interactive.endpoint.Endpoint[meerkat.interactive.app.src.lib.component.core.chat.OnSendChat]] = None, **kwargs)

A chat component.

Parameters

• df (DataFrame) – The dataframe to sync with the chat. It must have the following columns: message (str): The message to display. name (str): The name of the sender. time (str): The time the message was sent. sender (str): The sender of the message. Must be either “user” or “chatbot”.

• imgChatbot (str) – The image to display for the chatbot, as a URL.

• imgUser (str) – The image to display for the user, as a URL.

• on_send –

  The Endpoint to call when a message is sent. It must have the following signature:

  (message: str)

  with

  message (str): The message sent by the user.

__init__(**kwargs)

Methods

__init__(**kwargs)
append(other)
construct([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
dict(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
from_id(id)
from_orm(obj)
get_components()
json(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
prepend_meerkat_id_prefix(id)
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate(value)

Attributes

alias
component_name
event_names
events
frontend	Returns a Pydantic model that can be should be sent to the frontend.
frontend_alias
id
identifiable_group
library
namespace
path
prop_bindings
prop_names
props
slots
slottable
virtual_props	Props, and all events (as_*) as props.
wrapper_import_style
df
img_chatbot
img_user
on_send