swiftops / nlp_service

NLP service for SwiftOps

nlp_service

NLP service for SwiftOps (Work-in-progress)

Getting started

Prerequisites

Install prerequesists by executing following command

python -m pip install -r requirements.txt

Configuration

Update following configuration files as per your dialog flow needs or start with templates given.

• train_model/stories.md
• train_model/domain.yml
• train_model/nlu.md

Configure credentials for your prefered conversation channel Note; We have given example of Slack, as well as Bot UI, more on the way

• train_model/credentials.yml

Training

train models using folling command

./train_model/train.sh

Testing

You can test your model on ither command prompt or if you have Jupyter notebook, use train_model/test.ipynb

./train_model/test_bot.sh

Starting rasa_core server

Start Server to connect to your configured communication chanel, Slack in this case. You can start the server with ither command line utility or start using bot/bot_listner.py

using Command line

./start_core.sh

using python command

python service.py

your server is started on port 5002 Make your server accessible on the Internet so that Slack can communicate with it. You need to download ngrok utility for the same.

ngrok http 5002

Configure Forwarding url in Slack API. open your slack client and enjoy your conversation.

Starting Conversation UI

python chat_ui/conversation_interface.py

your CUI server is started on port 8080

nlp_service's Issues

Add Azure pipeline for SwiftOps repo

To configure CI cycle.