# FunASR realtime ASR demo

This branch runs FunASR's native online WebSocket flow with local streaming ASR and FSMN VAD models. CAM++ speaker embeddings are handled by the separate auxiliary service. The browser page, JavaScript, and CSS are copied byte-for-byte from the local `tencent-demo/static` directory.

## Start

Install a torch/torchaudio build for the host, then install `requirements-funasr.txt` and `requirements-auxiliary.txt`. Copy `.env.funasr.example` to `.env` if no `.env` exists, then download the three required FunASR assets:

~~~powershell
python scripts/download_models.py --funasr-runtime
~~~

Start the backend (CAM++, native FunASR WSS, and the browser protocol bridge) in one terminal:

~~~powershell
python scripts\run_backend.py
~~~

Start the frontend in another terminal:

~~~powershell
python scripts\run_frontend.py
~~~

Open the URL configured by `FRONTEND_HOST` and `FRONTEND_PORT`. The frontend keeps the Tencent demo's same-origin `/ws` and `/api/stop` calls and proxies them to `BACKEND_INTERNAL_URL`. The public backend bridge defaults to port 8082; the native FunASR WS socket defaults to loopback port 10095. Model paths and device settings are described in [FUNASR_README.md](FUNASR_README.md).