Skip to content

edh72/financial-demo

 
 

Repository files navigation

Financial Services Demo Bot

This is a demo bot for financial services.

To install the dependencies:

Run:

pip install -r requirements.txt

To run the bot:

Use rasa train to train a model.

Then, to run, first set up your action server in one terminal window:

rasa run actions

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

docker run -p 8000:8000 rasa/duckling

Then to talk to the bot, run:

rasa shell --debug

Note that --debug mode will produce a lot of output meant to help you understand how the bot is working under the hood. To simply talk to the bot, you can remove this flag.

Overview of the files

data/core.md - contains stories

data/nlu.md - contains NLU training data

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/e2e.md - end-to-end test stories

Things you can ask the bot

The bot currently has five skills. You can ask it to:

  1. Transfer money to another person
  2. Check your earning or spending history (with a specific vendor or overall)
  3. Answer a question about transfer charges
  4. Pay a credit card bill
  5. Tell you your account balance

It also has a limited ability to switch skills mid-transaction and then return to the transaction at hand.

For the purposes of illustration, the bot recognises the following fictional credit card accounts:

  • gringots
  • justice bank
  • credit all
  • iron bank

It recognises the following payment amounts (besides actual currency amounts):

  • minimum balance
  • current balance

It recognises the following vendors (for spending history):

  • Starbucks
  • Amazon
  • Target

You can change any of these by modifying actions.py and the corresponding NLU data.

About

A demo for a financial services bot

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 94.1%
  • Makefile 4.4%
  • Dockerfile 1.5%