Interview-schedule-bot

The bot is used to converse with potential candidates. The chatbot gives a brief description of the company and the job role then asks the candidate if they are willing to take up the job and schedules an interview.

Developed using Rasa 3.x

Steps to run the Bot

Create and run a python environemnt

Using Anaconda Prompt, run the following commands in the your preferred directory

conda create -n envname python=3.6 anaconda
conda activate envname

Or refer here

Create a new rasa project

Run the following commmand after activating the python environment

rasa init

Install dependencies for the bot

1. Install Docker Desktop
2. Run 'pip install rasa-sdk' in the python environment

Overview of the files( also reffered to as dependencies)

data/nlu/nlu.yml - contains NLU training data

data/nlu/rules.yml - contains rules training data

data/stories/stories*.yml - contains stories 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/ - end-to-end tests

Replace the files

Replace the default contents of the files with files in the repository

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 prompt 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.

Use should now be able to communicate with the bot in developer mode