salama4ai-chatbot

chatbot based on rasa framework as an assessment NLP task for Master-linux company jan-2022

• Note:- now the chatbot have an issue just because the endpoint that was provided by master-linux firm is not valid anymore, please replace the existing endpoint with a working one, and the model will work properly

Objective:-

The goal is to create Rasa Chatbot that can provide answers for users questions about the Population and the capitel city of collecton of countries, where the chatbot use the restful API to get that information from third-party website

initialization tips:-

to clone the repository:

git clone https://github.com/salama4ai/salama4ai-chatbot.git

to install rasa visit https://www.youtube.com/playlist?list=PL75e0qA87dlEWUA5ToqLLR026wIkk2evk``` install anaconda or miniconda

to ensure that you installed anaconda successfully

conda -V

then open anaconda prompt, and update conda

conda update conda

to create new virtual environment

conda create -n yourenvname python=3.8 

you must install python3.8 or 3.7 as rasa compatable with these two

create new folder and go to it and activate you environment

conda activate test_env

install rasa

pip install rasa

initialize you first project

rasa init 

if you need to train your bot after modifing files

rasa train

if you need to interact with your bot

rasa shell

or

rasa interactive

if you use rasa interactive so you can train the bot by chatting and interacting with it if you write custom action so you need to open anaconda prompt and activate the bot and in the prompt run rasa run actions and leave it open in the background to be able to use the custom action with another prompt you also can run shell in debug mode using rasa shell --debug and you can use rasa train --force to enforce retraining if you make changes in action.py file you don't need to retrain again just rerun rasa run actions

this work done by Ahmed Salama at JAN-2022

[email protected]

github.com/salama4ai

linkedin.com/in/salama4ai