Revise README for VLM Caption & Annif Demo

Updated project name and deployment instructions in README.

.github/README.md

@@ -1,13 +1,19 @@
-# Annif-VLM-demo
+# VLM Caption & Annif Demo
+
+How this works:
+
+1. Upload or take a photo.
+2. The image is sent to a Visual Language Model to generate a caption.
+3. Annif suggests subjects based on the caption.
 
 Developed using Copilot Agent.
 
-This demo is made for a [workshop at Kirjastoverkkopäivät 2025](https://www.kansalliskirjasto.fi/fi/kirjastoverkkopaivat-2025-torstain-tyopajat#tp2-automaattinen-kuvatekstien-tuottaminen-ja-sisallonkuvailu).
+This demo is/was deployed as a Hugging Face Space [NatLibFi/Caption-Annif-Demo](https://huggingface.co/spaces/NatLibFi/Caption-Annif-Demo) for a [workshop at Kirjastoverkkopäivät 2025](https://www.kansalliskirjasto.fi/fi/kirjastoverkkopaivat-2025-torstain-tyopajat#tp2-automaattinen-kuvatekstien-tuottaminen-ja-sisallonkuvailu).
 
-## Deploment
-Deploy as a Hugging Face Space by just pushing the code to the HF; you can e.g. add HF as a new remote:
+## Deployment
+Deploy by just pushing the code to Hugging Face; you can e.g. add HF as a new remote:
 
-    git remote add huggingface git@hf.co:spaces/NatLibFi/Annif-VLM-demo
+    git remote add huggingface git@hf.co:spaces/NatLibFi/Caption-Annif-Demo
 
 and then
 
@@ -24,4 +30,3 @@ For Hugging Face Space deployment they can be set in [repo settings](https://hug
 When developing you can use autoreload by running the app like this:
 
     gradio app.py
-