Music Sampling Knowledge Graph - Quick Start Guide

This guide explains only how to:

1. Run the Neo4j database
2. Inject data into Neo4j
3. Launch the Streamlit app

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1. Running Neo4j

Navigate to the KnowledgeGraph/neo4j directory and run:

cd KnowledgeGraph/neo4j
docker compose up -d

• This will start Neo4j using the docker-compose.yml provided.
• Neo4j Browser will be available at http://localhost:7474
  (Login with username neo4j, password testpassword).

Make sure Docker is installed before running this.

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2. Injecting Data into Neo4j

Once Neo4j is running, from the knowledge-graph/neo4j directory:

python load_data.py

• This script will connect to bolt://localhost:7687.
• It loads all necessary nodes and relationships into the database.

Important: Ensure load_data.py uses the correct credentials (neo4j / testpassword by default).

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3. Running the Streamlit App

From the project root directory:

cd Website
streamlit run Home.py

• The app will open in your browser (usually at http://localhost:8501).
• Explore the knowledge graph via the web interface.

Reminder: Neo4j must be running before launching the Streamlit app.

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