26 lines
1.2 KiB
Markdown
26 lines
1.2 KiB
Markdown
# FunASR realtime ASR demo
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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.
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## Start
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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:
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~~~powershell
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python scripts/download_models.py --funasr-runtime
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~~~
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Start the backend (CAM++, native FunASR WSS, and the browser protocol bridge) in one terminal:
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~~~powershell
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python scripts\run_backend.py
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~~~
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Start the frontend in another terminal:
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~~~powershell
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python scripts\run_frontend.py
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~~~
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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).
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