LLM-MLModelService

This service is responsible for interacting with LLM and ML models responsible for easing out the self ordering systems.

Steps to setup this service in your local:

Set Up the Virtual Environment

1. Create a virtual environment:

   python3 -m venv venv

2. Activate the virtual environment:

   source venv/bin/activate

3. Install Dependencies With the virtual environment activated, install the required Python packages:

pip install -r requirements.txt

Set Up MongoDB

1. Install MongoDB using brew:

   brew tap mongodb/brew
   brew install mongodb-community@6.0

2. Start the MongoDB service:

   brew services start mongodb/brew/mongodb-community

To Connect Mongo db in your local to your code, edit run.py configurations and add these environment variables: DATABASE_NAME=local;MONGO_URI=mongodb://localhost:27017;port=8090;HOST=localhost Port can be as per your choice.

Running the FastAPI Service

Just run run.py

Health API

After setting up the service, you can try hitting the health api. HealthApi URL: http://{your_localhost}/health

It should return a response like: { "status": "LLM-MLModel Service is up and running." }