Rasa Shop Bot

This is a sample shopping bot to help customers buy products from e-commerce sites. Built using Rasa 2.8.5 and Rasa x 0.39.3

Install dependencies

Run:

First create an virtual environment in anaconda prompt using the command :

conda create -n rasavirtualenv python = 3.6

Activate your environment using the command :

conda activate rasavirtualenv

Install latest rasa version:

pip3 install rasa

or install speicific version 2.8(if any error occurs with latest one)

pip3 install rasa==2.8.5

Install Rasa X:

pip3 install rasa-x==0.39.3 --extra-index-url https://pypi.rasa.com/simple

Use rasa train to train a model. Use rasa shell to talk with the bot(console). Use rasa x to talk with the bot(browser).

For custom actions, first set up your action server in one terminal window:

rasa run actions

For entity extraction, run the duckling server (In another window):

docker run -p 8000:8000 rasa/duckling

TO talk to your bot and debug at the same time:

rasa shell --debug

Note that , If you get errors follow these:

For c++ 14 related error : Install [MS Visual Studio Build Tools] (https://www.scivision.dev/python-windows-visual-c-14-required)
If Rasa doesn't start: First:

pip3 install SQLAlchemy==1.3.22

If it still doesn't launch: First:

pip install sanic-jwt==1.6.0

Delete rasa.db and events.db files (only first time)

data/stories.yml - contains stories

data/nlu.yml - contains NLU training data

data/rules.yml - contains the rules upon which the bot responds to queries

actions/actions.py - contains custom action/api code

domain.yml - the domain file, including bot response templates

config.yml - training configurations for the NLU pipeline and policy ensemble

tests/test_stories.yml - end-to-end test stories

Ask if a product is available or not.
Ask how many product in stock,price of product,view products by shop ,category or price range.
Add Product in Cart
Subscribe to product updates

Note: This project is still in development all features aren't implemented yet. Be patient.