# Installation

DebiAI offers several installation methods:

Recommended

Pip

Install Debiai-gui python package with pip

Docker

Install the project with Docker or Docker Compose

Build from source

Build the project from source

Development

DebiAI development setup guide

# Debiai-gui python package

# Installation

Requirements :

Python (opens new window)

Install the python package with pip:

pip install debiai-gui

# Start the application

The following command will launch the debiai web application:

debiai-gui start

Debiai will be available on http://localhost:3000/ (opens new window)

# Official Docker image

# Docker run

Requirements :

Docker (opens new window)

Using our public docker image is the recommended way to deploy DebiAI on your project server or locally.

docker run -p 3000:3000 debiai/app

Debiai will be available on http://localhost:3000/ (opens new window)

The next step is to provide data to DebiAI: Inserting data into DebiAI

Options :

You can add the -d flag to run the container in the background.

If you want DebiAI to run on a different port, set the -p flag to -p <MyPort>:3000.

Using a volume to store the data is also possible. If you want to set a volume to DebiAI, set the -v flag to -v <MyVolume>:/backend/data/, <MyVolume> being the absolute path of the empty folder to store your data in.

For example:

mkdir /tmp/debiai
docker run -p 3000:3000 -v /tmp/debiai:/backend/data/ debiai/app

You can also provide additional environment variables to tell DebiAI if you have some data-providers (see Data providers for more information).

# Docker-compose

Here is a Docker-compose file that will help you deploy DebiAI without having to remember the docker run command.

Requirements :

Docker compose (opens new window)

The DebiAI Docker-compose file :

version: "3.8"
services:
  debiai:
    image: "debiai/app"
    ports:
      - "3000:3000"
    volumes:
      - ./debiai_data:/backend/data

How to start DebiAI with Docker-compose :

mkdir debiai
cd debiai

# Create and copy/paste the docker-compose file
nano docker-compose.yml

# Start DebiAI
docker-compose up

Debiai will be available on http://localhost:3000/ (opens new window)

# Start DebiAI in background
docker-compose up -d

# Stop DebiAI
docker-compose down

You can also provide additional environment variables to tell DebiAI if you have some data-providers (see Data providers for more information).

# Build image from source

We also provide way to build the image instead of pulling it. This is useful if you want to deploy DebiAI with local changes.

# Docker build

Requirements :

Build the docker image :

git clone https://github.com/debiai/debiai.git

cd debiai

docker build -t debiai .

Run the docker image :

docker run -d -p 3000:3000 --restart=always debiai

DebiAI will be available by default at this url : http://localhost:3000/ (opens new window)

Stop the docker image :

docker stop debiai

Update the docker image :

git pull

docker stop debiai
docker container rm debiai

# Then build and run the docker image

# Docker-compose-build

Using our Docker-compose-build (opens new window) file.

Requirements :

Using the docker-compose-build.yml file will build and run the DebiAI docker image for you.

git clone https://github.com/debiai/debiai.git

cd debiai

docker-compose -f docker-compose-build.yml up -d

DebiAI will be available by default at this url : http://localhost:3000/ (opens new window) A volume will be created with the debiai_data folder. You can now provide your project data to DebiAI : Inserting data into DebiAI

To stop the DebiAI server, you can run the following command:

docker-compose -f docker-compose-build.yml down

To upgrade DebiAI :

git pull
docker-compose -f docker-compose-build.yml up -d

Editing the docker-compose-build.yml file :

version: "3.8"
services:
  debiai:
    build: .
    image: debiai
    ports:
      - 3000:3000
    volumes:
      - ./DEBIAI_data:/backend/data

If you want to change the volume folder path, create a folder where you want and replace "./debiai_data" by the path of your folder. Make sure there is nothing not related to DebiAI in the folder because it might be removed.

The next step is to provide data to DebiAI: Inserting data into DebiAI

Quick start →