Add FunASR streaming model download config

FUNASR_README.md

@@ -3,7 +3,12 @@
 The frontend and backend start separately. The backend launcher loads three
 required local assets: streaming ASR, FSMN VAD, and CAM++ speaker verification.
 It starts the CAM++ model service and the WebSocket service and stops both
-together. No model is downloaded by the launcher.
+together. No model is downloaded by the launcher. Use the shared model manifest
+and downloader to prepare the three required snapshots:
+
+~~~powershell
+python scripts/download_models.py --funasr-runtime
+~~~
 
 ## Model directories
 
@@ -11,7 +16,7 @@ Put the assets under models/ or set MODEL_DIR in .env. The default
 FunASR names resolve to these local directories:
 
 - models/iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online
-- models/iic/speech_fsmn_vad_zh-cn-16k-common-pytorch (or the damo/ variant)
+- models/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch
 - models/iic/speech_campplus_sv_zh-cn_16k-common (or the damo/ variant)
 
 If your directories have different names, set FUNASR_ASR_MODEL and
@@ -28,6 +33,7 @@ then install the project dependencies:
 cd D:\github-project\ASR\Asr-demo
 python -m pip install -r requirements-funasr.txt
 python -m pip install -r requirements-auxiliary.txt
+python scripts/download_models.py --funasr-runtime
 if (-not (Test-Path .env)) { Copy-Item .env.funasr.example .env }
 ~~~
 

README.md

@@ -7,7 +7,12 @@ The browser UI starts as a separate service.
 
 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, and check MODEL_DIR.
+.env.funasr.example to .env if no .env exists, then download the three
+required FunASR models with the shared project manifest:
+
+~~~powershell
+python scripts/download_models.py --funasr-runtime
+~~~
 
 Start the backend (CAM++ model service plus WebSocket) in one terminal:
 

model_manifest.json

@@ -10,6 +10,24 @@
       "alias": "0.6b",
       "directory": "Qwen/Qwen3-ASR-0.6B",
       "description": "Qwen3-ASR 0.6B，GPU 默认轻量模型"
+    },
+    "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online": {
+      "alias": "paraformer-zh-streaming",
+      "directory": "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online",
+      "description": "FunASR Paraformer streaming ASR used by the realtime backend",
+      "required_files": [
+        "configuration.json",
+        "config.yaml"
+      ],
+      "any_files": [
+        "*.pb",
+        "*.pt",
+        "*.onnx",
+        "*.bin",
+        "*.model",
+        "*.safetensors"
+      ],
+      "min_total_size_bytes": 1000000
     }
   },
   "auxiliary_models": {
@@ -19,8 +37,13 @@
       "kind": "vad",
       "description": "FunASR FSMN VAD",
       "revision": "v2.0.2",
-      "required_files": ["configuration.json", "config.yaml", "model.pb"],
+      "required_files": [
-      "min_total_size_bytes": 1000000
+        "configuration.json",
+        "config.yaml",
+        "model.pb"
+      ],
+      "min_total_size_bytes": 1000000,
+      "funasr_alias": "fsmn-vad"
     },
     "iic/speech_campplus_speaker-diarization_common": {
       "alias": "diarization",
@@ -43,7 +66,11 @@
       "kind": "speaker_verification",
       "description": "Configured CAM++ speaker verification",
       "revision": "v2.0.2",
-      "required_files": ["configuration.json", "config.yaml", "campplus_cn_common.bin"],
+      "required_files": [
+        "configuration.json",
+        "config.yaml",
+        "campplus_cn_common.bin"
+      ],
       "min_total_size_bytes": 10000000
     },
     "iic/speech_eres2netv2_sv_zh-cn_16k-common": {
@@ -51,8 +78,12 @@
       "directory": "iic/speech_eres2netv2_sv_zh-cn_16k-common",
       "kind": "realtime_speaker_verification",
       "description": "Realtime speaker verification",
-      "required_files": ["configuration.json"],
+      "required_files": [
-      "any_files": ["*"],
+        "configuration.json"
+      ],
+      "any_files": [
+        "*"
+      ],
       "min_total_size_bytes": 10000000
     },
     "damo/speech_campplus_sv_zh-cn_16k-common": {
@@ -60,7 +91,11 @@
       "directory": "damo/speech_campplus_sv_zh-cn_16k-common",
       "kind": "speaker_verification",
       "description": "CAM++ speaker verification dependency",
-      "required_files": ["configuration.json", "config.yaml", "campplus_cn_common.bin"],
+      "required_files": [
+        "configuration.json",
+        "config.yaml",
+        "campplus_cn_common.bin"
+      ],
       "min_total_size_bytes": 10000000
     },
     "damo/speech_campplus-transformer_scl_zh-cn_16k-common": {
@@ -68,7 +103,11 @@
       "directory": "damo/speech_campplus-transformer_scl_zh-cn_16k-common",
       "kind": "speaker_transformer",
       "description": "CAM++ Transformer dependency",
-      "required_files": ["configuration.json", "campplus_cn_encoder.pt", "transformer_backend.pt"],
+      "required_files": [
+        "configuration.json",
+        "campplus_cn_encoder.pt",
+        "transformer_backend.pt"
+      ],
       "min_total_size_bytes": 10000000
     },
     "Qwen/Qwen3-ForcedAligner-0.6B": {
@@ -76,8 +115,13 @@
       "directory": "Qwen/Qwen3-ForcedAligner-0.6B",
       "kind": "forced_aligner",
       "description": "Qwen3 word-level forced aligner",
-      "required_files": ["config.json"],
+      "required_files": [
-      "any_files": ["*.safetensors", "*.bin"],
+        "config.json"
+      ],
+      "any_files": [
+        "*.safetensors",
+        "*.bin"
+      ],
       "min_total_size_bytes": 500000000
     }
   }

pyproject.toml

@@ -19,6 +19,7 @@ dependencies = [
 
 [project.scripts]
 funasr-realtime-demo = "scripts.run_funasr_demo:main"
+funasr-download-models = "scripts.download_models:main"
 
 [tool.setuptools]
 packages = ["scripts", "realtime_websocket"]

scripts/auxiliary_server.py

@@ -197,7 +197,8 @@ class AuxiliaryRuntime:
             )
             raise RuntimeError(
                 "Auxiliary core model is missing or failed to load: " + details
-                + ". Set MODEL_DIR or CAM_MODEL_PATH to the local CAM++ asset."
+                + ". Run python scripts/download_models.py --funasr-runtime, "
+                "or set MODEL_DIR/CAM_MODEL_PATH to the local CAM++ asset."
             )
 
     def _find_model(self, kind: str) -> Any:

scripts/download_models.py

@@ -0,0 +1,13 @@
+#!/usr/bin/env python3
+"""Download models using the project's shared model manifest."""
+
+from __future__ import annotations
+
+try:
+    from .download_models_qwen_legacy import main
+except ImportError:
+    from download_models_qwen_legacy import main
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

scripts/download_models_qwen_legacy.py

@@ -73,7 +73,7 @@ def download_model(
         from modelscope.hub.snapshot_download import snapshot_download
     except ImportError as exc:
         raise RuntimeError(
-            "ModelScope is required for downloading; install requirements-download.txt first"
+            "ModelScope is required for downloading; install requirements-funasr.txt first"
         ) from exc
 
     model_path.parent.mkdir(parents=True, exist_ok=True)
@@ -176,12 +176,36 @@ def main() -> int:
         action="store_true",
         help="Only download/check VAD, speaker, diarization, and aligner assets",
     )
+    auxiliary_group.add_argument(
+        "--funasr-runtime",
+        action="store_true",
+        help="Download/check only streaming Paraformer, FSMN-VAD, and CAM++",
+    )
     args = parser.parse_args()
 
     manifest = load_manifest()
-    models_dir = args.models_dir.resolve()
+    models_dir = args.models_dir
+    if not models_dir.is_absolute():
+        models_dir = Path(__file__).resolve().parents[1] / models_dir
+    models_dir = models_dir.resolve()
     cache_dir = args.cache_dir.resolve() if args.cache_dir else None
     selected_assets: list[tuple[str, dict[str, object]]] = []
+    if args.funasr_runtime:
+        # The realtime branch needs the streaming ASR plus its VAD and CAM++ only.
+        asr_id = resolve_model_id("paraformer-zh-streaming", manifest)
+        selected_assets.append((asr_id, manifest["models"][asr_id]))
+        assets = auxiliary_models(manifest)
+        vad_id = next(
+            model_id for model_id, config in assets.items()
+            if config.get("kind") == "vad"
+        )
+        cam_id = next(
+            model_id for model_id, config in assets.items()
+            if config.get("kind") == "speaker_verification"
+            and model_id.startswith("iic/")
+        )
+        selected_assets.extend((model_id, assets[model_id]) for model_id in (vad_id, cam_id))
+    else:
         if not args.auxiliary_only:
             model_id = resolve_model_id(args.model, manifest)
             selected_assets.append((model_id, manifest["models"][model_id]))

scripts/model_manifest.py

@@ -52,3 +52,28 @@ def auxiliary_models(manifest: dict[str, Any]) -> dict[str, dict[str, Any]]:
     if not isinstance(models, dict):
         raise ValueError("model_manifest.json 的 auxiliary_models 必须是对象")
     return {str(model_id): config for model_id, config in models.items() if isinstance(config, dict)}
+
+def resolve_auxiliary_model_id(
+    model: str | None,
+    manifest: dict[str, Any],
+    kind: str | None = None,
+) -> str:
+    """Resolve a configured auxiliary asset by ID, alias, or FunASR alias."""
+    assets = auxiliary_models(manifest)
+    requested = (model or "").strip()
+    if requested in assets and (kind is None or assets[requested].get("kind") == kind):
+        return requested
+
+    for model_id, config in assets.items():
+        if kind is not None and config.get("kind") != kind:
+            continue
+        aliases = [config.get("alias"), config.get("funasr_alias")]
+        if requested.lower() in {
+            str(alias).lower() for alias in aliases if isinstance(alias, str)
+        }:
+            return model_id
+    expected = ", ".join(
+        model_id for model_id, config in assets.items()
+        if kind is None or config.get("kind") == kind
+    )
+    raise ValueError(f"Unsupported auxiliary model '{model}'; configured assets: {expected}")

scripts/run_backend.py

@@ -18,35 +18,41 @@ PROJECT_ROOT = Path(__file__).resolve().parents[1]
 if str(PROJECT_ROOT) not in sys.path:
     sys.path.insert(0, str(PROJECT_ROOT))
 
-from scripts.model_manifest import auxiliary_models, load_manifest, model_directory
+from scripts.model_manifest import (
+    auxiliary_models,
+    load_manifest,
+    model_directory,
+    resolve_auxiliary_model_id,
+    resolve_model_id,
+)
 
 load_dotenv(PROJECT_ROOT / ".env")
 
-# FunASR's published short names resolve to these ModelScope local directories.
-LOCAL_MODEL_NAMES = {
-    "paraformer-zh-streaming": (
-        "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online",
-    ),
-    "fsmn-vad": (
-        "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",
-        "damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
-    ),
-}
 
-
+def local_model(requested: str, models_dir: Path, kind: str) -> Path:
-def local_model(requested: str, models_dir: Path) -> Path:
+    """Resolve ASR/VAD IDs through the shared model manifest."""
-    """Resolve a model ID or path beneath MODEL_DIR without a network fallback."""
     name = requested.strip()
-    direct = Path(name)
+    configured_path = Path(name)
-    candidates = [direct] if direct.is_absolute() else [
+    direct_candidates = (
-        PROJECT_ROOT / direct, models_dir / direct,
+        [configured_path]
-        *(models_dir / alias for alias in LOCAL_MODEL_NAMES.get(name, ())),
+        if configured_path.is_absolute()
-    ]
+        else [PROJECT_ROOT / configured_path, models_dir / configured_path]
-    for candidate in candidates:
+    )
+    for candidate in direct_candidates:
         if candidate.is_dir() and (candidate / "configuration.json").is_file():
             return candidate.resolve()
-    checked = ", ".join(str(path) for path in candidates)
+
-    raise FileNotFoundError(f"Local model '{name}' was not found; checked: {checked}")
+    manifest = load_manifest()
+    if kind == "asr":
+        model_id = resolve_model_id(name, manifest)
+    else:
+        model_id = resolve_auxiliary_model_id(name, manifest, kind=kind)
+    candidate = model_directory(model_id, manifest, models_dir)
+    if candidate.is_dir() and (candidate / "configuration.json").is_file():
+        return candidate.resolve()
+    raise FileNotFoundError(
+        f"Local {kind.upper()} model '{name}' is missing; expected: {candidate}"
+    )
 
 
 def local_cam_model(models_dir: Path) -> Path:
@@ -115,8 +121,10 @@ def main() -> None:
     if not models_dir.is_absolute():
         models_dir = PROJECT_ROOT / models_dir
     models_dir = models_dir.resolve()
-    asr = local_model(os.getenv("FUNASR_ASR_MODEL", "paraformer-zh-streaming"), models_dir)
+    asr = local_model(
-    vad = local_model(os.getenv("FUNASR_VAD_MODEL", "fsmn-vad"), models_dir)
+        os.getenv("FUNASR_ASR_MODEL", "paraformer-zh-streaming"), models_dir, "asr"
+    )
+    vad = local_model(os.getenv("FUNASR_VAD_MODEL", "fsmn-vad"), models_dir, "vad")
     cam = local_cam_model(models_dir)
     print(f"Local models: ASR={asr}; VAD={vad}; CAM++={cam}", flush=True)
 

tests/qwen_legacy_model_manifest_test.py

@@ -22,10 +22,13 @@ class ModelManifestTests(unittest.TestCase):
         self.assertEqual(resolve_model_id("1.7b", self.manifest), "Qwen/Qwen3-ASR-1.7B")
         self.assertEqual(resolve_model_id("0.6b", self.manifest), "Qwen/Qwen3-ASR-0.6B")
 
-    def test_manifest_has_only_asr_models(self) -> None:
+    def test_manifest_contains_legacy_and_funasr_asr_models(self) -> None:
+        self.assertTrue({"Qwen/Qwen3-ASR-0.6B", "Qwen/Qwen3-ASR-1.7B"}.issubset(
+            set(self.manifest["models"])
+        ))
         self.assertEqual(
-            set(self.manifest["models"]),
+            resolve_model_id("paraformer-zh-streaming", self.manifest),
-            {"Qwen/Qwen3-ASR-0.6B", "Qwen/Qwen3-ASR-1.7B"},
+            "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online",
         )
 
     def test_manifest_has_auxiliary_runtime_assets(self) -> None: