Anudesh

An open source platform to annotate and label LLM data at scale

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Anudesh is an open source platform to annotate Lare language models' data at scale, built with a vision to enhance digital presence of under-represented languages in India.

Cloning this Master Repo

git clone --recurse-submodules https://github.com/AI4Bharat/Anudesh

Backend Setup

Clone the Anudesh-Backend repository from GitHub to your local machine.

git clone https://github.com/AI4Bharat/Anudesh-Backend.git
        

Create a virtual environment for the project. Replace with your preferred environment name.

python3 -m venv 

Activate the virtual environment. This ensures that the packages you install are isolated from the global Python environment.

source /bin/activate

Install all required Python packages listed in the requirements-dev.txt file.

pip install -r deploy/requirements-dev.txt

Set up the environment variables needed for the project by copying the example environment file.

cp .env.example ./backend/.env

Generate a new secret key for Django (within the virtual environment):

Open a Python shell.

python backend/manage.py shell

# Import the utility function to generate a secret key.
>> from django.core.management.utils import get_random_secret_key

# Generate and print a new secret key.
>> get_random_secret_key()

Copy the generated secret key and paste it into the .env file as the value for SECRET_KEY.

Docker Installation

Build the Docker containers as defined in the docker-compose-local.yml file.

docker-compose -f docker-compose-local.yml build

Run the containers in detached mode (-d flag). This will start up all the services defined in the Docker Compose file.

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

Run Migrations

The following steps are required only when you run the project for the first time or after making changes to the models.

# Check if there are any pending migrations.
docker-compose exec web python backend/manage.py makemigrations 

# Apply all pending migrations to the database.
docker-compose exec web python backend/manage.py migrate

Create a superuser for accessing the Django admin interface (required only once).

docker-compose exec web python backend/manage.py createsuperuser

Run the Django development server within the Docker container.

docker-compose exec web python backend/manage.py runserver

Frontend Setup

Clone the Anudesh-Frontend repository from GitHub to your local machine.

git clone https://github.com/AI4Bharat/Anudesh-Frontend.git

Change directory to the newly cloned Anudesh-Frontend folder.

cd Anudesh-Frontend

Install the necessary dependencies for the project.

The --force flag is used to bypass conflicts with the existing dependencies.

npm i --force

Start the development server. This will run the frontend application on a local server.

npm run dev