refactor: organize backend and frontend directories

.env.funasr.example

@@ -18,7 +18,7 @@ FUNASR_FINALIZE_TIMEOUT_SECONDS=300
 FUNASR_NATIVE_WS_HOST=127.0.0.1
 FUNASR_NATIVE_WS_PORT=10095
 
-# CAM++ is required and started by scripts/run_backend.py.
+# CAM++ is required and started by backend/run_backend.py.
 AUXILIARY_SERVICE_URL=http://127.0.0.1:8010
 AUXILIARY_DEVICE=cpu
 AUXILIARY_PRELOAD_KINDS=speaker_verification

FUNASR_README.md

@@ -23,8 +23,8 @@ If directories have different names, set `FUNASR_ASR_MODEL` and `FUNASR_VAD_MODE
 Install a torch/torchaudio build suitable for the host, then install the project dependencies and models:
 
 ~~~powershell
-python -m pip install -r requirements-funasr.txt
-python -m pip install -r requirements-auxiliary.txt
+python -m pip install -r backend/requirements-funasr.txt
+python -m pip install -r backend/requirements-auxiliary.txt
 python scripts/download_models.py --funasr-runtime
 if (-not (Test-Path .env)) { Copy-Item .env.funasr.example .env }
 ~~~
@@ -32,8 +32,8 @@ if (-not (Test-Path .env)) { Copy-Item .env.funasr.example .env }
 Start the backend and frontend in separate terminals:
 
 ~~~powershell
-python scripts\run_backend.py
-python scripts\run_frontend.py
+python backend\run_backend.py
+python frontend\run_frontend.py
 ~~~
 
 Defaults are frontend port 8080, browser backend port 8082, CAM++ HTTP port 8010, and native FunASR WS port 10095 bound to loopback. Change `FRONTEND_PORT`, `WEB_PORT`, `AUXILIARY_SERVICE_URL`, `FUNASR_NATIVE_WS_HOST`, and `FUNASR_NATIVE_WS_PORT` together when needed. `BACKEND_INTERNAL_URL` is the backend origin reachable from the frontend process; it defaults to `http://127.0.0.1:${WEB_PORT}`.

README.md

@@ -1,25 +1,32 @@
 # 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.
+This project keeps the frontend and backend in separate directories. The frontend serves the original Tencent demo assets from frontend/static/ unchanged.
 
-## Start
+## Project layout
 
-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:
+- backend/: FunASR WebSocket adapter, native engine launcher, CAM++ service, and backend dependencies.
+- frontend/: Tencent demo files, static HTTP/WebSocket proxy, and frontend dependencies.
+- scripts/: shared model download tools and the model manifest.
+
+## Install and download models
+
+Install a host-compatible PyTorch/torchaudio build first. Then install backend dependencies, copy the example environment file, and download the FunASR runtime models:
 
 ~~~powershell
+python -m pip install -r backend/requirements-funasr.txt
+python -m pip install -r backend/requirements-auxiliary.txt
+python -m pip install -r frontend/requirements.txt
+if (-not (Test-Path .env)) { Copy-Item .env.funasr.example .env }
 python scripts/download_models.py --funasr-runtime
 ~~~
 
-Start the backend (CAM++, native FunASR WSS, and the browser protocol bridge) in one terminal:
+## Start
+
+Run the backend and frontend in separate terminals from the project root:
 
 ~~~powershell
-python scripts\run_backend.py
+python backend/run_backend.py
+python frontend/run_frontend.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).
+The backend supervises CAM++, FunASR native WSS, and the browser protocol adapter. The frontend serves the unchanged Tencent page and proxies its same-origin /ws and /api/stop requests to the backend. Configure ports and model locations in .env.

README_QWEN_LEGACY.md

@@ -30,7 +30,7 @@ Qwen/Qwen3-ASR-1.7B
 cd D:\github-project\ASR\Qwen-Asr\demo
 python -m venv .venv
 .\.venv\Scripts\Activate.ps1
-pip install -r requirements-download.txt
+pip install modelscope==1.34.0
 python scripts\download_models.py
 ```
 
@@ -70,7 +70,7 @@ python scripts\download_models.py
 需要宿主机具备与 VLLM 兼容的 Python、CUDA 和 NVIDIA 驱动环境。安装部署依赖：
 
 ```bash
-python -m pip install -r requirements-deploy.txt
+python -m pip install -r backend/requirements-qwen-legacy.txt
 ```
 
 先复制并按服务器实际路径修改 `.env`，启动器会自动读取该文件：
@@ -82,24 +82,24 @@ cp .env.example .env
 默认启动 `Qwen/Qwen3-ASR-0.6B`，监听地址为 `0.0.0.0:9950`：
 
 ```bash
-python scripts/serve.py
+python backend/serve_qwen_legacy.py
 ```
 
-模型和启动检查循环可以通过命令行或环境变量传入；端口统一在 `scripts/serve.py` 的 `SERVER_PORT` 变量中维护：
+模型和启动检查循环可以通过命令行或环境变量传入；端口统一在 `backend/serve_qwen_legacy.py` 的 `SERVER_PORT` 变量中维护：
 
 ```bash
 QWEN3_ASR_MODEL=0.6b VLLM_STARTUP_CHECK_LOOPS=120 \
-VLLM_STARTUP_CHECK_INTERVAL_SECONDS=2 python scripts/serve.py
+VLLM_STARTUP_CHECK_INTERVAL_SECONDS=2 python backend/serve_qwen_legacy.py
 ```
 
 如果使用 `1.7B`，下载和启动必须指定同一个模型：
 
 ```powershell
 python scripts\download_models.py --model 1.7b
-python -m scripts.serve --model 1.7b
+python -m backend.serve_qwen_legacy --model 1.7b
 ```
 
-启动器会按 `VLLM_STARTUP_CHECK_LOOPS` 次数轮询 `/health`，每次间隔由 `VLLM_STARTUP_CHECK_INTERVAL_SECONDS` 指定。服务端口、健康检查端口和就绪提示统一使用 `scripts/serve.py` 中的 `SERVER_PORT`。
+启动器会按 `VLLM_STARTUP_CHECK_LOOPS` 次数轮询 `/health`，每次间隔由 `VLLM_STARTUP_CHECK_INTERVAL_SECONDS` 指定。服务端口、健康检查端口和就绪提示统一使用 `backend/serve_qwen_legacy.py` 中的 `SERVER_PORT`。
 
 服务启动后可检查：
 
@@ -125,8 +125,8 @@ curl "http://${VLLM_DISPLAY_HOST:-127.0.0.1}:9950/v1/audio/transcriptions" \
 
 ```powershell
 cd D:\github-project\ASR\Qwen-Asr\demo
-pip install -r requirements-auxiliary.txt
-python scripts\auxiliary_server.py
+pip install -r backend/requirements-auxiliary.txt
+python -m backend.auxiliary_server
 ```
 
 辅助服务默认监听 `0.0.0.0:8010`。实时链路启动时严格加载 VAD 和 CAM++ `speaker_verification` 声纹模型，用于每个 turn 的特征提取与在线聚类；完整 CAM++ 分离、Transformer 和 ForcedAligner 不阻断核心服务，完整分离模型会在调用 `/v1/diarization` 时按需加载。检查状态：
@@ -144,8 +144,8 @@ WebSocket demo 默认连接 `9950` 的 ASR VLLM，辅助服务使用 `8010`。`/
 ## 项目边界
 
 - `scripts/download_models.py`：下载选定 ASR 和全部辅助模型资产。
-- `scripts/serve.py`：读取 `.env`，解析模型选择、宿主机参数并启动新版 `vllm serve`。
-- `requirements-deploy.txt`：安装宿主机部署所需的官方 Qwen3-ASR VLLM 依赖。
+- `backend/serve_qwen_legacy.py`：读取 `.env`，解析模型选择、宿主机参数并启动新版 `vllm serve`。
+- `backend/requirements-qwen-legacy.txt`：安装宿主机部署所需的官方 Qwen3-ASR VLLM 依赖。
 - `tests/`：只验证本项目自己的模型清单和选择逻辑，不依赖原项目。
 
 模型服务就绪后，新的实时 ASR demo 放在同级 `demo` 项目中继续开发，但不得通过 Python import 或 HTTP/WebSocket 调用原项目服务。

backend/__init__.py

@@ -0,0 +1 @@
+"""Backend services and the realtime ASR protocol adapter."""

backend/auxiliary_server.py

@@ -6,6 +6,7 @@ from __future__ import annotations
 import asyncio
 import math
 import os
+import sys
 import tempfile
 import time
 from collections.abc import Mapping
@@ -16,16 +17,17 @@ from aiohttp import web
 from aiohttp.web_request import FileField
 from dotenv import load_dotenv
 
-try:
-    from .model_manifest import auxiliary_models, load_manifest, model_directory
-except ImportError:
-    from model_manifest import auxiliary_models, load_manifest, model_directory
+PROJECT_ROOT = Path(__file__).resolve().parents[1]
+if str(PROJECT_ROOT) not in sys.path:
+    # Support direct script startup while sharing the root model manifest.
+    sys.path.insert(0, str(PROJECT_ROOT))
+
+from scripts.model_manifest import auxiliary_models, load_manifest, model_directory
 
 
 # 将辅助服务端口固定在代码变量中，服务器启动时只需执行脚本，便于部署和排查。
 AUXILIARY_HOST = "0.0.0.0"
 AUXILIARY_PORT = 8010
-PROJECT_ROOT = Path(__file__).resolve().parents[1]
 # 独立启动辅助服务也必须读取部署配置，不能只在启动 vLLM 时才加载 .env。
 load_dotenv(PROJECT_ROOT / ".env")
 MODELS_DIR = Path(os.getenv("MODEL_DIR", str(PROJECT_ROOT / "models"))).resolve()

backend/realtime_websocket/README_QWEN_LEGACY.md

@@ -31,15 +31,15 @@ VAD、CAM++ 声纹模型及在线聚类，WebSocket 只做音频流编排，不
 ```powershell
 cd D:\github-project\ASR\Qwen-Asr\demo
 python scripts\download_models.py
-python scripts\serve.py
+python backend/serve_qwen_legacy.py
 ```
 
 另一个终端启动辅助模型服务：
 
 ```powershell
 cd D:\github-project\ASR\Qwen-Asr\demo
-pip install -r requirements-auxiliary.txt
-python scripts\auxiliary_server.py
+pip install -r backend/requirements-auxiliary.txt
+python -m backend.auxiliary_server
 ```
 
 另开一个终端启动 WebSocket 页面：
@@ -78,7 +78,7 @@ python server.py --no-browser
 `pipeline([wav_path], output_emb=True)`。不能绕过 pipeline 预处理后直接调用
 `pipeline.model`，否则采样率、声道和 waveform 预处理不会执行，部分 ModelScope
 版本会直接抛异常，WebSocket 仍会继续输出 ASR 并把说话人保留为 pending。
-更新辅助服务代码后需要重启 `python scripts/auxiliary_server.py`，仅重启页面
+更新辅助服务代码后需要重启 `python -m backend.auxiliary_server`，仅重启页面
 服务不会替换已经驻留在 GPU 中的旧辅助服务进程。
 
 ## 页面操作

backend/realtime_websocket/funasr_engine.py

@@ -123,7 +123,7 @@ class FunASRModelService:
             from funasr import AutoModel
         except ImportError as exc:  # pragma: no cover - deployment-only branch
             raise RuntimeError(
-                "FunASR is not installed; run pip install -r requirements-deploy.txt"
+                "FunASR is not installed; run pip install -r backend/requirements-funasr.txt"
             ) from exc
 
         def load_models() -> tuple[Any, Any]:

backend/realtime_websocket/funasr_server.py

@@ -26,7 +26,7 @@ except ImportError:
     from auxiliary_service import AuxiliaryModelService, AuxiliaryServiceConfig
 
 
-PROJECT_ROOT = Path(__file__).resolve().parents[1]
+PROJECT_ROOT = Path(__file__).resolve().parents[2]
 load_dotenv(PROJECT_ROOT / ".env")
 LOGGER = logging.getLogger(__name__)
 WEB_HOST = os.getenv("WEB_HOST", "0.0.0.0")

backend/realtime_websocket/server_qwen_legacy.py

@@ -25,7 +25,7 @@ from speaker_assembler import SegmentAssembler
 
 
 # 与部署启动器读取同一配置；外部环境变量优先于 demo/.env。
-DEPLOY_ROOT = Path(__file__).resolve().parents[1]
+DEPLOY_ROOT = Path(__file__).resolve().parents[2]
 load_dotenv(DEPLOY_ROOT / ".env")
 
 # 监听所有网卡，允许同一局域网内的浏览器访问服务器上的 Demo；端口集中在代码

backend/realtime_websocket/tests/test_funasr_engine.py

@@ -7,7 +7,7 @@ import unittest
 from unittest.mock import patch
 
 try:
-    from realtime_websocket.funasr_engine import (
+    from backend.realtime_websocket.funasr_engine import (
         FunASRRealtimeSession,
         FunASRServiceConfig,
         _result_text,

backend/realtime_websocket/tests/test_funasr_server.py

@@ -1,4 +1,4 @@
-"""Contract test for the unchanged Tencent UI to FunASR native WS bridge."""
+"""Contract test for the unchanged Tencent UI to FunASR native WS bridge."""
 
 from __future__ import annotations
 
@@ -10,7 +10,7 @@ from unittest.mock import patch
 from aiohttp import web
 from aiohttp.test_utils import AioHTTPTestCase
 
-from realtime_websocket.funasr_server import (
+from backend.realtime_websocket.funasr_server import (
     AUXILIARY_KEY,
     SESSION_REGISTRY_KEY,
     websocket_handler,
@@ -78,7 +78,7 @@ class FunASRBridgeTests(AioHTTPTestCase):
     async def test_tencent_ui_messages_use_native_funasr_and_keep_speaker_label(self):
         native = FakeNativeWebSocket()
         with patch(
-            "realtime_websocket.funasr_server.websocket_connect",
+            "backend.realtime_websocket.funasr_server.websocket_connect",
             return_value=native,
         ):
             ws = await self.client.ws_connect("/ws")

backend/realtime_websocket/tests/test_speaker_assembler.py

@@ -5,7 +5,7 @@ from __future__ import annotations
 import unittest
 
 try:
-    from realtime_websocket.speaker_assembler import SegmentAssembler
+    from backend.realtime_websocket.speaker_assembler import SegmentAssembler
 except ModuleNotFoundError:
     from speaker_assembler import SegmentAssembler
 

backend/run_backend.py

@@ -191,7 +191,7 @@ def main() -> None:
     websocket = None
     try:
         auxiliary = subprocess.Popen(
-            [sys.executable, "-m", "scripts.auxiliary_server"],
+            [sys.executable, "-m", "backend.auxiliary_server"],
             cwd=PROJECT_ROOT,
             env=env,
         )
@@ -199,7 +199,7 @@ def main() -> None:
 
         native_args = [
             sys.executable,
-            str(PROJECT_ROOT / "realtime_websocket" / "funasr_native_wss.py"),
+            str(PROJECT_ROOT / "backend" / "realtime_websocket" / "funasr_native_wss.py"),
             "--host",
             native_host,
             "--port",
@@ -230,7 +230,7 @@ def main() -> None:
         wait_for_tcp(probe_host, native_port, native)
 
         websocket = subprocess.Popen(
-            [sys.executable, "-m", "scripts.run_funasr_demo", "--no-browser"],
+            [sys.executable, "-m", "backend.run_funasr_demo", "--no-browser"],
             cwd=PROJECT_ROOT,
             env=env,
         )

backend/run_funasr_demo.py

@@ -10,7 +10,7 @@ PROJECT_ROOT = Path(__file__).resolve().parents[1]
 if str(PROJECT_ROOT) not in sys.path:
     sys.path.insert(0, str(PROJECT_ROOT))
 
-from realtime_websocket.funasr_server import main
+from backend.realtime_websocket.funasr_server import main
 
 
 if __name__ == "__main__":

backend/serve_qwen_legacy.py

@@ -19,16 +19,16 @@ from dotenv import load_dotenv
 
 # 启动器自动读取 demo/.env；系统环境变量仍然优先，便于部署平台临时覆盖配置。
 PROJECT_ROOT = Path(__file__).resolve().parents[1]
+if str(PROJECT_ROOT) not in sys.path:
+    # Resolve the shared model manifest for direct script startup.
+    sys.path.insert(0, str(PROJECT_ROOT))
 load_dotenv(PROJECT_ROOT / ".env")
 
 # 将服务端口集中在代码变量中维护，启动时不需要额外传入端口参数；健康检查、
 # VLLM 子进程命令和就绪提示都使用同一个端口，避免配置不一致导致误判。
 SERVER_PORT = int(os.getenv("VLLM_PORT", "9950"))
 
-try:
-    from .model_manifest import load_manifest, model_directory, resolve_model_id
-except ImportError:
-    from model_manifest import load_manifest, model_directory, resolve_model_id
+from scripts.model_manifest import load_manifest, model_directory, resolve_model_id
 
 
 def has_model_weights(model_path: Path) -> bool:
@@ -125,7 +125,7 @@ def build_server_command(args: argparse.Namespace, model_id: str, model_path: Pa
     executable_name = os.getenv("VLLM_EXECUTABLE", "vllm")
     executable = shutil.which(executable_name)
     if executable is None:
-        raise RuntimeError(f"{executable_name} was not found; install requirements-deploy.txt first")
+        raise RuntimeError(f"{executable_name} was not found; install backend/requirements-qwen-legacy.txt first")
 
     served_model_name = args.served_model_name or model_id
     command = [

backend/tests/qwen_legacy_model_manifest_test.py

@@ -39,7 +39,7 @@ class ModelManifestTests(unittest.TestCase):
         self.assertIn("Qwen/Qwen3-ForcedAligner-0.6B", assets)
 
     def test_model_directory_is_under_demo_models(self) -> None:
-        models_dir = Path(__file__).resolve().parents[1] / "models"
+        models_dir = Path(__file__).resolve().parents[2] / "models"
         for model_id in [*self.manifest["models"], *auxiliary_models(self.manifest)]:
             self.assertTrue(model_directory(model_id, self.manifest, models_dir).is_relative_to(models_dir))
 

backend/tests/qwen_legacy_serve_test.py

@@ -7,7 +7,7 @@ import unittest
 from pathlib import Path
 from unittest.mock import patch
 
-from scripts.serve import SERVER_PORT, build_parser, build_server_command
+from backend.serve_qwen_legacy import SERVER_PORT, build_parser, build_server_command
 
 
 class ServeConfigTests(unittest.TestCase):
@@ -29,7 +29,7 @@ class ServeConfigTests(unittest.TestCase):
         self.assertEqual(args.startup_check_loops, 12)
         self.assertEqual(args.startup_check_interval, 0.5)
 
-    @patch("scripts.serve.shutil.which", return_value="/opt/asr-gb10/bin/vllm")
+    @patch("backend.serve_qwen_legacy.shutil.which", return_value="/opt/asr-gb10/bin/vllm")
     def test_builds_native_vllm_serve_command(self, _which: object) -> None:
         """启动器应生成已验证的新版 vllm serve 命令。"""
         args = build_parser().parse_args([])

backend/tests/test_auxiliary_server.py

@@ -7,7 +7,7 @@ import numpy as np
 from types import SimpleNamespace
 from unittest.mock import patch
 
-from scripts.auxiliary_server import (
+from backend.auxiliary_server import (
     AuxiliaryRuntime,
     _coerce_finite_float,
     _normalize_diarization_segments,
@@ -42,8 +42,8 @@ class AuxiliaryServerTests(unittest.TestCase):
             "aligner": {"kind": "forced_aligner"},
         }
         loaded_kinds = []
-        with patch("scripts.auxiliary_server._asset_ready", return_value=True), \
-             patch("scripts.auxiliary_server.model_directory", return_value=runtime.manifest and SimpleNamespace()), \
+        with patch("backend.auxiliary_server._asset_ready", return_value=True), \
+             patch("backend.auxiliary_server.model_directory", return_value=runtime.manifest and SimpleNamespace()), \
              patch.object(runtime, "_load_asset", side_effect=lambda model_id, config, path: loaded_kinds.append(config["kind"]) or object()):
             runtime.preload()
         self.assertEqual(loaded_kinds, ["vad"])
@@ -57,8 +57,8 @@ class AuxiliaryServerTests(unittest.TestCase):
             "vad": {"kind": "vad"},
             "campplus": {"kind": "speaker_verification"},
         }
-        with patch("scripts.auxiliary_server._asset_ready", side_effect=[True, False]), \
-             patch("scripts.auxiliary_server.model_directory", return_value=SimpleNamespace()):
+        with patch("backend.auxiliary_server._asset_ready", side_effect=[True, False]), \
+             patch("backend.auxiliary_server.model_directory", return_value=SimpleNamespace()):
             with self.assertRaisesRegex(RuntimeError, "campplus"):
                 runtime.preload()
 
@@ -76,8 +76,8 @@ class AuxiliaryServerTests(unittest.TestCase):
         """VAD 是核心依赖，缺失时错误必须给出可执行的修复方向。"""
         runtime = AuxiliaryRuntime()
         runtime.assets = {"vad": {"kind": "vad"}}
-        with patch("scripts.auxiliary_server._asset_ready", return_value=False), \
-             patch("scripts.auxiliary_server.model_directory", return_value=SimpleNamespace(__str__=lambda self: "/models/vad")):
+        with patch("backend.auxiliary_server._asset_ready", return_value=False), \
+             patch("backend.auxiliary_server.model_directory", return_value=SimpleNamespace(__str__=lambda self: "/models/vad")):
             with self.assertRaisesRegex(RuntimeError, "download_models.py --auxiliary-only"):
                 runtime.preload()
 

frontend/requirements.txt

@@ -0,0 +1,3 @@
+# Dependencies for serving the unchanged Tencent demo UI.
+aiohttp==3.11.11
+python-dotenv>=1.0

frontend/run_frontend.py

@@ -13,7 +13,7 @@ from aiohttp import ClientSession, ClientTimeout, WSMsgType, web
 from dotenv import load_dotenv
 
 PROJECT_ROOT = Path(__file__).resolve().parents[1]
-STATIC_ROOT = PROJECT_ROOT / "realtime_websocket" / "static"
+STATIC_ROOT = Path(__file__).resolve().parent / "static"
 load_dotenv(PROJECT_ROOT / ".env")
 FRONTEND_HOST = os.getenv("FRONTEND_HOST", "127.0.0.1")
 FRONTEND_PORT = int(os.getenv("FRONTEND_PORT", "8080"))

pyproject.toml

@@ -18,8 +18,8 @@ dependencies = [
 ]
 
 [project.scripts]
-funasr-realtime-demo = "scripts.run_funasr_demo:main"
+funasr-realtime-demo = "backend.run_funasr_demo:main"
 funasr-download-models = "scripts.download_models:main"
 
 [tool.setuptools]
-packages = ["scripts", "realtime_websocket"]
+packages = ["scripts", "backend", "backend.realtime_websocket"]

pyproject_qwen_legacy.toml

@@ -14,7 +14,7 @@ dependencies = [
 
 [project.scripts]
 qwen3-asr-download = "scripts.download_models:main"
-qwen3-asr-serve = "scripts.serve:main"
+qwen3-asr-serve = "backend.serve_qwen_legacy:main"
 
 [tool.setuptools]
-packages = ["scripts"]
+packages = ["scripts", "backend", "backend.realtime_websocket"]

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-funasr.txt first"
+            "ModelScope is required for downloading; install backend/requirements-funasr.txt first"
         ) from exc
 
     model_path.parent.mkdir(parents=True, exist_ok=True)