feat: Add Gradio UI apps for AI services

- embeddings.py: BGE embeddings demo with similarity
- stt.py: Whisper speech-to-text demo
- tts.py: XTTS text-to-speech demo
- theme.py: Shared DaviesTechLabs Gradio theme
- K8s deployments for each app

embeddings.yaml

@@ -0,0 +1,95 @@
+---
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: embeddings-ui
+  namespace: ai-ml
+  labels:
+    app: embeddings
+    component: demo-ui
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: embeddings
+  template:
+    metadata:
+      labels:
+        app: embeddings
+        component: demo-ui
+    spec:
+      containers:
+        - name: gradio
+          image: ghcr.io/billy-davies-2/llm-apps:v2-202601271655
+          imagePullPolicy: Always
+          command: ["python", "embeddings_demo.py"]
+          ports:
+            - containerPort: 7860
+              name: http
+              protocol: TCP
+          env:
+            - name: EMBEDDINGS_URL
+              value: "http://embeddings-predictor.ai-ml.svc.cluster.local"
+            - name: MLFLOW_TRACKING_URI
+              value: "http://mlflow.mlflow.svc.cluster.local:80"
+          resources:
+            requests:
+              cpu: "100m"
+              memory: "256Mi"
+            limits:
+              cpu: "500m"
+              memory: "512Mi"
+          livenessProbe:
+            httpGet:
+              path: /
+              port: 7860
+            initialDelaySeconds: 10
+            periodSeconds: 30
+          readinessProbe:
+            httpGet:
+              path: /
+              port: 7860
+            initialDelaySeconds: 5
+            periodSeconds: 10
+      imagePullSecrets:
+        - name: ghcr-registry
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: embeddings-ui
+  namespace: ai-ml
+  labels:
+    app: embeddings
+spec:
+  type: ClusterIP
+  ports:
+    - port: 80
+      targetPort: 7860
+      protocol: TCP
+      name: http
+  selector:
+    app: embeddings
+---
+apiVersion: gateway.networking.k8s.io/v1
+kind: HTTPRoute
+metadata:
+  name: embeddings-ui
+  namespace: ai-ml
+  annotations:
+    external-dns.alpha.kubernetes.io/hostname: embeddings-ui.lab.daviestechlabs.io
+spec:
+  parentRefs:
+    - name: envoy-internal
+      namespace: network
+      sectionName: https
+  hostnames:
+    - embeddings-ui.lab.daviestechlabs.io
+  rules:
+    - matches:
+        - path:
+            type: PathPrefix
+            value: /
+      backendRefs:
+        - name: embeddings-ui
+          port: 80