Medical Emergency Agent

This repository provides tools and interfaces for a Medical Emergency Agent, leveraging a property graph knowledge store (kgstore) and interactive Jupyter notebooks. The project enables users to interact with medical emergency data and visualize or analyze information through notebooks and a user interface (UI) that integrates with the property graph store.

Table of Contents

• Features
• Requirements
• Installation
• Usage
• Property Graph Store: kgstore
• UI Configuration
• Contributing
• License

Features

• Two main Jupyter notebooks for direct exploration and execution.
• Property graph knowledge store (kgstore) for flexible data management.
• UI integration to change the data source location to kgstore.

Requirements

• Python 3.10+
• Poetry (for dependency management)
• Jupyter Notebook

Installation

1. Install Poetry

Poetry is a tool for dependency management and packaging in Python. To install Poetry, run:

curl -sSL https://install.python-poetry.org | python3 -

Or, for pipx users:

pipx install poetry

Make sure to add Poetry to your PATH according to the install instructions output.

2. Clone the Repository

git clone https://github.com/cyeedmaroof/Medical-emergency-agent.git
cd Medical-emergency-agent

3. Install Dependencies

poetry install

This will create a virtual environment and install all necessary dependencies.

4. Activate the Virtual Environment

You can use Poetry's shell to activate the environment:

poetry shell

Or, run commands directly with:

poetry run <command>

Usage

Running the Jupyter Notebooks

There are two main notebooks in this project:

1. Query with Call Transcripts Test

2. Stand Alone Queries

You can run them directly by pressing run all cell

Then, open your browser and navigate to the localhost:[port number] to start interacting with the Medical Emergency Agent.

UI Configuration

In the UI, you can change the data source location to kgstore to access and work with all available data.