Update README.md

README.md

@@ -4,4 +4,11 @@ Alice Retrieval-Augmented Generation (RAG) is a proof of concept application des
 
 This project showcases my ability to implement advanced AI techniques, containerization, CI/CD, documentation, and web-based interaction using Streamlit, all while adhering to best practices in software development and deployment.
 
-![screnshot-alicerage](img/alicerag.png)
+A Gemini API token is required to run the application. There is a free tier, and a key can be obtained at [Google AI](https://ai.google.dev/pricing). The following command downloads the latest version of the container (built for amd64 and arm64) and maps the Streamlit default port 8501 to a local port (in that case, also 8501).
+
+```
+docker run -p 8501:8501 -e GEMINI_API_TOKEN=$GEMINI_API_KEY pmiron/alice-rag-llm:latest
+```
+then the application will be available locally at [http://0.0.0.0:8501](http://0.0.0.0:8501).
+
+![screnshot-alicerage](img/alicerag.png)