Deprecated.
A Simple Chatbot Structure using RASA Framework. Just add your intents, entity and actions, train it and see it working !
This project features a simple easy to use chatbot that I did for some weekend activity. The task was to have chatbot create a Jira ticket and do some minor tasks like update logs and update its status.
It was just for fun activity kind of thing.
Please use this chatbot foundation to build further bots using Rasa framework.
Below are the steps for installation of rasa framework and getting the bot working !
- Create virtual env -
python3 -m venv venv - Install dependencies
Make sure to install these dependencies in your virtual env
To use virtual env
source venv/bin/activate
Then
pip3 install -r requirements.txt
If this does not seem to work, then
pip3 install rasa==2.1.3
pip3 install spacy==2.3.4
- Download en_core in venv
python -m spacy download en-core-web-md
- Train Model
rasa train
Run this command in terminal, where the venv is activated and all dependencies are installed.
- Run Actions server
rasa run actions
Open a terminal, say, T1 and type this command in same repo and environment where rasa chatbot code is present. This will run the actions server, which will communicate with the client server to predict the actions results and to display them in terminal.
- Run Client Server
rasa shell
Open a new terminal, say, T2 and type this command in same repo and environment where rasa chatbot code is present. This will run the Client server and communicate with the actions server to predict and show the results.
Thanks for using this repository !
Namaste 🙏