Reference official WebUI instead of removed Gradio app

README.md

@@ -25,7 +25,7 @@ To our knowledge, this is the **first open, vision-driven interaction model** re
 ---
 ## vLLM Usage
 
-[vLLM-Omni](https://github.com/vllm-project/vllm-omni) provides **day-0 support** for JoyAI-VL-Interaction! The model is a standard Qwen3-VL VLM served by a plain `vllm serve`; vLLM-Omni adds the real-time interaction layer on top — the per-second **speak / silence / delegate** orchestration, 3-tier summary memory, and pluggable ASR / TTS / delegation. For installation and full setup (browser demo, RTSP input, delegation, ASR/TTS), see the [vLLM-Omni recipe](https://github.com/vllm-project/vllm-omni/blob/main/recipes/JD/JoyAI-VL-Interaction.md).
+[vLLM-Omni](https://github.com/vllm-project/vllm-omni) provides **day-0 support** for JoyAI-VL-Interaction! The model is a standard Qwen3-VL VLM served by a plain `vllm serve`; vLLM-Omni adds the real-time interaction layer on top — the per-second **speak / silence / delegate** orchestration, 3-tier summary memory, and pluggable ASR / TTS / delegation. For installation and full setup, see the [vLLM-Omni recipe](https://github.com/vllm-project/vllm-omni/blob/main/recipes/JD/JoyAI-VL-Interaction.md).
 
 ### Online Serving
 
@@ -40,10 +40,6 @@ vllm serve jdopensource/JoyAI-VL-Interaction-Preview \
 # 2. Start the interaction orchestrator (OpenAI-compatible, :8070)
 python -m vllm_omni.experimental.fullduplex.joyvl.serving.server --port 8070 \
   --main-backend-url http://127.0.0.1:8061/v1 --main-model JoyAI-VL-Interaction-Preview
-
-# 3. (optional) launch the self-contained Gradio demo
-pip install vllm-omni[demo]
-python vllm-omni/examples/online_serving/joyvl_interaction/app.py --server http://127.0.0.1:8070
 ```
 
-Send one frame per turn (~1 fps) to `/v1/chat/completions` with an `x-session-id` header and an optional standing instruction; each reply's `interaction.action` is `silence` / `response` / `delegate`. See the recipe for the full client and capability examples.
+For the full browser demo — live webcam / RTSP input, voice (ASR/TTS), and the per-tick decision stream — run JD's official WebUI (`services/webui`) in front of the orchestrator; see the [vLLM-Omni recipe](https://github.com/vllm-project/vllm-omni/blob/main/recipes/JD/JoyAI-VL-Interaction.md) for the steps.