fixes for the service layer. Updated readme.

README.md

@@ -215,18 +215,24 @@ docker tag guardian-newscast truenas.local:30095/guardian-newscast:latest
 docker push truenas.local:30095/guardian-newscast:latest
 ```
 
-### Deploying on TrueNAS
+#### Cross-platform builds
+
+For Intel (x86_64):
 
 ```bash
-docker pull truenas.local:30095/guardian-newscast:latest
-docker run -d \
-  --name guardian-newscast \
-  --network host \
-  -v /path/to/data:/app/data \
-  -e OLLAMA_URL=http://127.0.0.1:11434/api/generate \
-  -e PORT=30095 \
-  --restart unless-stopped \
-  truenas.local:30095/guardian-newscast:latest
+docker buildx build --platform linux/amd64 -t guardian-newscast:amd64 .
+```
+
+For ARM (aarch64 / Apple Silicon):
+
+```bash
+docker buildx build --platform linux/arm64 -t guardian-newscast:arm64 .
+```
+
+To build and push both variants as a single multi-arch manifest:
+
+```bash
+docker buildx build --platform linux/amd64,linux/arm64 -t truenas.local:30095/guardian-newscast:latest --push .
 ```
 
 ### Docker Compose
@@ -242,14 +248,10 @@ docker compose --profile full up -d
 ### GPU Acceleration
 
 The default Dockerfile uses `python:3.11-slim` (Debian), which has glibc — fully compatible with NVIDIA CUDA.
-
-To run with GPU acceleration on TrueNAS:
-1. Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html).
-2. Build with CUDA-enabled torch:
+1. Build with CUDA-enabled torch:
    ```bash
    docker build --target gpu -t guardian-newscast:gpu .
    ```
    (Add a `FROM python:3.11-slim AS gpu` stage with `pip install torch --index-url https://download.pytorch.org/whl/cu121`)
 3. Run with `--gpus all`.
-4. Minimum **4 GB VRAM** recommended for Ollama + Kokoro in the same container.
-
+4. Minimum **4 GB VRAM** recommended for Ollama + Kokoro in the same container.