Build an Neo4j-backed Chatbot using Python

This repository accompanies the Build an Neo4j-backed Chatbot using Python course on Neo4j GraphAcademy.

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Running the application

To run the application, you must install the libraries listed in requirements.txt.

pip install -r requirements.txt

Then run the streamlit run command to start the app on http://localhost:8501/.

streamlit run bot.py

Tests

To run the solution tests:

1. Create Neo4j instance with the recommendations dataset

2. Run the Cypher to add embeddings and create the vector index.

3. Create a virtual environment and install the requirements.

   pip install -r requirements.txt

4. Install pytest

   pip install pytest

5. Create a secrets.toml file in the .streamlit directory. Use secrets.toml.example as a template.

6. Run the tests

   pytest