parulnith/building-a-conversational-chatbot-for-slack-using-rasa-and-python

A guide to creating a chatbot with Rasa stack and Python and deploying it on Slack

Building a Conversational Chatbot for Slack using Rasa and Python

This is a Github repo linked to the articles I wrote on Medium for Towards Data Science.

Building a Conversational Chatbot for Slack using Rasa and Python -Part 1

Building a Conversational Chatbot for Slack using Rasa and Python -Part 2

Through these articles, we are going to build a chatbot called ‘Robo’ capable of checking in on people’s mood and taking the necessary actions to cheer them up. We will then deploy it to Slack. It will be a fully function Slackbot capable of listening and responding to your requests. The demo screenshot below should motivate you enough to build one of your own.

building-a-conversational-chatbot-for-slack-using-rasa-and-python's Issues

Error while trying to run run_app.py

Traceback (most recent call last):
File "run_app.py", line 1, in
from rasa_core.channels.slack import SlackInput
File "/usr/local/lib/python3.5/dist-packages/rasa_core/channels/init.py", line 17, in
from rasa_core.channels.console import CmdlineInput # nopep8
File "/usr/local/lib/python3.5/dist-packages/rasa_core/channels/console.py", line 2, in
import questionary
File "/usr/local/lib/python3.5/dist-packages/questionary/init.py", line 7, in
from questionary.prompt import prompt
File "/usr/local/lib/python3.5/dist-packages/questionary/prompt.py", line 8, in
from questionary.prompts import AVAILABLE_PROMPTS, prompt_by_name
File "/usr/local/lib/python3.5/dist-packages/questionary/prompts/init.py", line 2, in
from questionary.prompts import text
File "/usr/local/lib/python3.5/dist-packages/questionary/prompts/text.py", line 11, in
from questionary.prompts.common import build_validator
File "/usr/local/lib/python3.5/dist-packages/questionary/prompts/common.py", line 252, in
None]
File "/usr/lib/python3.5/typing.py", line 552, in getitem
dict(self.dict), parameters, _root=True)
File "/usr/lib/python3.5/typing.py", line 512, in new
for t2 in all_params - {t1} if not isinstance(t2, TypeVar)):
File "/usr/lib/python3.5/typing.py", line 512, in
for t2 in all_params - {t1} if not isinstance(t2, TypeVar)):
File "/usr/lib/python3.5/typing.py", line 1077, in subclasscheck
if super().subclasscheck(cls):
File "/usr/lib/python3.5/abc.py", line 225, in subclasscheck
for scls in cls.subclasses():
TypeError: descriptor 'subclasses' of 'type' object needs an argument

Import Error

ImportError: cannot import name '_BACKEND'
This is the error when using:
agent = Agent('domain.yml', policies=[MemoizationPolicy(), KerasPolicy(), fallback])

I am running the files on colab so Latest versions of Tensorflow(Version 1.8.0) and Keras(Version: 2.2.5) are running.
Also tried with version 2.0.0 of Tensorflow.
Facing the same issue. Kindly help.

Thank you,
Swetha Balaji

Faced issue while running your notebook on rasa core 0.12.4

It's running perfectly fine on the version you have specified.

Problem is with the custom action class. As per the latest document we need to use the string returned by the name function of the custom class in the domain.yml file under actions. But it wasn't working. Tried representing the way it was used for an earlier version, wasn't working too.

Any ideas to use it with the new version would be helpful.