Remove python activities

README.adoc

@@ -3,22 +3,3 @@
 This repository accompanies the link:https://graphacademy.neo4j.com/courses/llm-knowledge-graph-construction[Constructing Knowledge Graphs with LLMs^] on link:https://graphacademy.neo4j.com/courses/llm-knowledge-graph-construction[GraphAcademy^].
 
 For a complete walkthrough of this repository, link:https://graphacademy.neo4j.com/courses/llm-knowledge-graph-construction[enrol now^].
-
-== Tests
-
-To run the solution tests: 
-
-. Create blank Neo4j instance
-. Create a virtual environment and install the requirements.
-+ 
-[source,sh]
-pip install -r requirements.txt
-. Install `pytest`
-+
-[source,sh]
-pip install pytest
-. Create a `.env` file in the root directory. Use `.env.example` as a template.
-. Run the tests
-+
-[source,sh]
-pytest llm-knowledge-graph/solutions

SETUP.md

@@ -9,5 +9,5 @@ Follow the [Setup Instructions in GraphAcademy](https://graphacademy.neo4j.com/c
 You will need to:
 
 1. Create a new [`.env`](.env) file and copy the contents of the [`.env.example`](.env.example) file into it
-2. Update the environment values in the [`.env`](.env) file with the values in the [Setup Instructions](https://graphacademy.neo4j.com/courses/llm-knowledge-graph-construction/3-python-create-graph/1-setup/)
+2. Update the environment values in the [`.env`](.env) file with the values for your Neo4j database and OpenAI API key
 3. Run the [`llm-knowledge-graph/test_environment.py`](./llm-knowledge-graph/test_environment.py) program to check the environment is set up correctly.