Update

You can read my article on how I made the application
https://community.intersystems.com/post/cookbook-preparing-your-own-assistant-meetings

About

The iris-recorder-helper application is an assistant in recording audio sessions with subsequent decoding of audio into text and summarizing up or other things (to your taste).

The application is based on InterSystems IRIS, Python (Flask, SQLALchemy ORM) and simple Javascript with jQuery and Bootstrap 5

GitHub last commit

In practice

Watch a demo of how the service works https://www.youtube.com/watch?v=O2yh-jorDs4

Main

TRY ONLINE DEMO https://iris-recorder-helper.demo.community.intersystems.com/

Features

Convert voice to text
AI-powered text recognition
Shortening text with your own settings and in different roles

TODO

List of your sessions with recordings
Loading audio via files
Working on your server with local models
Capturing a microphone from another source (for example zoom)

Installation

Clone/git pull the repo into any local directory

git clone https://github.com/alexnxela/iris-recorder-helper.git

Open a Docker terminal in this directory and run:

./docker-build.sh

Run the IRIS container:

docker-compose run iris irispython ./rh/flask/app/configer.py

docker-compose up -d

Install with IPM

zpm "install iris-recorder-helper"

How to setup

You should put the parameters file here ./rh/flask/app/config.json

{
  "OPENAI_KEY": "sk-***",
  "OPENAI_MAX_TEMP": 0.9,
  "IRIS_URL":"iris://_SYSTEM:SYS@iris:1972/USER"
}

You can get the key OPENAI_KEY here https://platform.openai.com/account/api-keys

How to run it

Run the python script in iris container:

# attach to the running IRIS container
docker-compose exec iris bash
# run the script
$ irispython ./rh/flask/main.py

and then you can follow the link

http://localhost:5000

Special Thanks to:

Dmitry Maslennikov for sqlalchemy-iris library (An InterSystems IRIS dialect for SQLAlchemy ) which was helpful to connect with IRIS

iris-recorder-helper

InterSystems Python Contest 2023