Medical-Diagnosis-Assistant

With AI RASA NLU
Try implement to mobile flutter inspired by AbySharma999
This project using rasa2 and python 3.8.5 with pip3

1. Create your python virtual environment

$virtualenv --system-site-packages -p python3 ./rasaku

2. Install RASA Core for NLU

open your editor. Maybe like vscode or pycharm. It's up to what editor you're using the important thing can be.
In the editor you use the python environment with venv that you created earlier.
run in your terminal editor.
$pip3 install rasa
or if you using PyCharm, open python interpreter in setting => add(+) and install the rasa packages

3. For Testing using ngrok local server

*open your Editor for run RASA NLU.
running your rasa custom actions.
a. $rasa run actions
enable your rasa api model.
b. $rasa run -m models --enable-api --cors “*” --debug
*finally test your assistant in your Flutter Mobile.
open ngrok. path/to/ngrok/folder in your terminal
run ngrok.
$./ngrok http 1234 <= (change 1234 with the port number used when you activate the api model before. (Command at step b). Look in the your terminal editor)
*Open the Flutter project
copy the ngrok url in your terminal. And put in Flutter Project => lib/pages/ChatPage.dart. for example (http://4d5b6c6f28be.ngrok.io/webhooks/rest/webhook) (/webhooks/rest/webhook) is parameter from rasa for testing rest api your rasa model.
Dont forget activate connections and recording permissions in your phone
And this project I just try in Mobile Android, Not yet on iOS

Client Side

https://github.com/kardihaekal/Client-AI-Medical-Diagnosis

Rasa Documentation

https://rasa.com/docs/

Ngrok Documentation

https://ngrok.com/docs

Flutter Documentation

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codeme-hue/Medical-Diagnosis-Assistant