docs: Update the pyproject.toml to make it compatible with spaCy; update

architecture.md

api/architecture.md

@@ -46,3 +46,9 @@ Example Api Clients in their own modules are:
 - `AnthropicClient` to communicate with Anthorpic's LLM, i.e. Claude, to generate text and synthesis.
 - `GeminiClient` to communicate with Google's Gemini for text-to-speech generation
 - `DeepgramClient` for timestamped speech-to-text transcription
+
+## Deploymnet
+
+The application has not been deployed yet, but local development should mimic the deployed environment as much as possible.
+
+It will be deployed on a VPS using containerisation technologies (docker, podman).  At the root of the projec there is a `docker-compose.yaml` file which will describe each dependency (e.g. database, queue, storage).

api/pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "language-learning-api"
 version = "0.1.0"
-requires-python = ">=3.11"
+requires-python = "==3.13.*"
 dependencies = [
     "fastapi>=0.115.0",
     "uvicorn[standard]>=0.30.0",