Chatbot

This app will work in python 3.7,3.8 due to the AI model it uses called chatterbox

1.Install Required packages through pip --reference the docker file or run the following commnd in your terminal.

pip install -r requirements.pip

2.Locate the tagging.py file in the chatterbot library (after installing the LLM through pip) tagging.py file in a text editor.

3.Find the line that initializes the nlp object with the shortcut model name.

It should be around line 13, similar to this:

self.nlp = spacy.load(self.language.ISO_639_1.lower())

4.Replace that line with the following code, which loads the model using its full name:

self.nlp = spacy.load("en_core_web_sm")

5.Make sure to replace "en_core_web_sm" with the appropriate model name for your language if you're not using English.

6.If you still encounter any issues, make sure to verify that you have installed the correct version of spaCy and the required language model (en_core_web_sm for English) as

Kubernetes & Docker Usage

The app docker image is on docker hub run the following command to pull the docker image

docker pull flatfourwrx/chatbot:latest

Then run on docker

docker run -p 5000:5000 flatfourwrx/chatbot:latest

Or run in a kubernetes cluster. make sure kubectl is installed then run the following command

kubectl apply -f k8-chatbot.yml

kubectl port-forward deployment/chatbot 5000:8089