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

README.md

@@ -1,2 +1,106 @@
-# gradio-ui
+# Gradio UI
 
+Interactive Gradio web interfaces for the DaviesTechLabs AI/ML platform.
+
+## Apps
+
+| App | Description | Port |
+|-----|-------------|------|
+| `embeddings.py` | BGE Embeddings demo with similarity comparison | 7860 |
+| `stt.py` | Whisper Speech-to-Text demo | 7861 |
+| `tts.py` | XTTS Text-to-Speech demo | 7862 |
+
+## Features
+
+- **Consistent theme** - Shared DaviesTechLabs theme via `theme.py`
+- **MLflow integration** - Metrics logged for demo usage
+- **Service endpoints** - Connect to KServe inference services
+
+## Running Locally
+
+```bash
+pip install -r requirements.txt
+
+# Run individual apps
+python embeddings.py  # http://localhost:7860
+python stt.py         # http://localhost:7861
+python tts.py         # http://localhost:7862
+```
+
+## Docker
+
+```bash
+# Build
+docker build -t gradio-ui:latest .
+
+# Run specific app
+docker run -p 7860:7860 -e APP=embeddings gradio-ui:latest
+docker run -p 7861:7861 -e APP=stt gradio-ui:latest
+docker run -p 7862:7862 -e APP=tts gradio-ui:latest
+```
+
+## Kubernetes Deployment
+
+```bash
+# Deploy all apps
+kubectl apply -k .
+
+# Or individual apps
+kubectl apply -f embeddings.yaml
+kubectl apply -f stt.yaml
+kubectl apply -f tts.yaml
+```
+
+## Configuration
+
+| Environment Variable | Default | Description |
+|---------------------|---------|-------------|
+| `EMBEDDINGS_URL` | `http://embeddings-predictor.ai-ml.svc.cluster.local` | Embeddings service |
+| `WHISPER_URL` | `http://whisper-predictor.ai-ml.svc.cluster.local` | STT service |
+| `TTS_URL` | `http://tts-predictor.ai-ml.svc.cluster.local` | TTS service |
+| `MLFLOW_TRACKING_URI` | `http://mlflow.mlflow.svc.cluster.local:80` | MLflow server |
+
+## App Details
+
+### embeddings.py
+
+- Generate embeddings for text input
+- Batch embedding support
+- Cosine similarity comparison
+- Visual embedding dimension display
+
+### stt.py
+
+- Upload audio or record from microphone
+- Transcribe using Whisper
+- Language detection
+- Timestamp display
+
+### tts.py
+
+- Text input for synthesis
+- Voice selection
+- Audio playback and download
+- Speed/pitch controls
+
+## File Structure
+
+```
+gradio-ui/
+├── embeddings.py      # Embeddings demo
+├── stt.py             # Speech-to-Text demo
+├── tts.py             # Text-to-Speech demo
+├── theme.py           # Shared Gradio theme
+├── requirements.txt   # Python dependencies
+├── Dockerfile         # Container image
+├── kustomization.yaml # Kustomize config
+├── embeddings.yaml    # K8s deployment
+├── stt.yaml           # K8s deployment
+└── tts.yaml           # K8s deployment
+```
+
+## Related
+
+- [kuberay-images](https://git.daviestechlabs.io/daviestechlabs/kuberay-images) - Ray workers
+- [handler-base](https://git.daviestechlabs.io/daviestechlabs/handler-base) - Handler library
+- [homelab-design](https://git.daviestechlabs.io/daviestechlabs/homelab-design) - Architecture docs