Make Qwen3-ASR the default on main; bump to 1.2.0

- pyproject/uv.lock: add qwen-asr, transformers 4.57.6, fastapi 0.136.3
(torch stays 2.3.1) so a fresh clone + uv sync just works
- TTS weights: auto-convert .bin -> safetensors on first launch
(required by transformers >= 4.56 on torch < 2.6)
- ASR manager falls back to funasr/whisper if qwen-asr is unavailable
- README: Qwen3-ASR description, first-launch download note, v1.2.0

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

README.md

@@ -26,7 +26,7 @@ library_name: transformers
 ![Python](https://img.shields.io/badge/Python-3.9+-blue.svg)
 ![License](https://img.shields.io/badge/License-MIT-green.svg)
 ![Platform](https://img.shields.io/badge/Platform-macOS-lightgrey.svg)
-![Version](https://img.shields.io/badge/Version-1.1.0-orange.svg)
+![Version](https://img.shields.io/badge/Version-1.2.0-orange.svg)
 
 一个集成了语音识别(ASR)、大语言模型(LLM)和文本转语音(TTS)的实时语音对话系统
 
@@ -39,7 +39,7 @@ library_name: transformers
 VoiceDialogue 是一个基于 Python 的完整语音对话系统，实现了端到端的语音交互体验。系统采用模块化设计，具备实时、高精度、多角色的特点。
 
 - 🖥️ **图形界面**: 内置 Web 图形界面，浏览器即可使用（选音色、切语言、看实时字幕）
-- 🎤 **实时语音识别**: 高精度中英文语音转录
+- 🎤 **实时语音识别**: 基于 Qwen3-ASR 的高精度中英文转录（自带标点，支持 52 种语言）
 - 🤖 **智能对话生成**: 集成 Qwen3 等大语言模型
 - 🔊 **高质量语音合成**: 支持多角色、多风格的语音输出
 - 🌐 **Web API 服务**: 提供 HTTP 接口，方便集成
@@ -89,7 +89,7 @@ python main.py --mode api
 - 点击右下角 **⚙️ 设置**，选择**麦克风、回音消除、识别语言、音色**，也可切换**中 / 英界面语言**；
 - 点击 **「开始对话」**，即可与 AI 实时语音对话，**字幕会实时显示**。
 
-> 首次启动需要数十秒加载模型（LLM / ASR / TTS），请稍候。
+> 首次启动会自动下载 Qwen3-ASR 模型（约 3.4GB）并转换 TTS 权重格式（约 1 分钟），之后每次启动只需数十秒，请稍候。
 
 ### 3. 命令行模式（CLI）
 

assets/www/assets/{index-CBWIB-ok.css → index-BPAUWo8W.css}

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assets/www/assets/{index-I4LwLHV-.js → index-CGlMbARk.js}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f59527d7ccdc62e1062e71f82e79c06f9622c9deed46b36299e449e5a942700
+oid sha256:2cccc544e9f2c32632c81cf9a5e8ed3cc9c5b0476ec8e595a180deb6fde095c8
 size 2307855

assets/www/index.html

@@ -5,8 +5,8 @@
     <link rel="icon" type="image/svg+xml" href="./favicon.ico" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>VoiceDialogue</title>
-    <script type="module" crossorigin src="./assets/index-I4LwLHV-.js"></script>
-    <link rel="stylesheet" crossorigin href="./assets/index-CBWIB-ok.css">
+    <script type="module" crossorigin src="./assets/index-CGlMbARk.js"></script>
+    <link rel="stylesheet" crossorigin href="./assets/index-BPAUWo8W.css">
   </head>
   <body>
     <div id="app"></div>

frontend/src/views/Welcome/Components/SettingsModal.vue

@@ -18,7 +18,7 @@ const settingsStore = useSettingsStore();
 
 const activeTab = ref<string>("main");
 const loading = ref<boolean>(false);
-const appVersion = "1.1.0";
+const appVersion = "1.2.0";
 
 // ---- 各项设置的本地状态（打开时从 store / 后端同步）----
 const uiLanguage = ref<UiLocale>((settingsStore.$state.uiLanguage as UiLocale) ?? "en");

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "voice_dialogue"
-version = "1.0.0"
+version = "1.2.0"
 description = "一个基于AI的智能语音对话系统，支持实时语音识别、自然语言处理和语音合成"
 readme = "README.md"
 requires-python = ">=3.11"
@@ -8,11 +8,11 @@ dependencies = [
     "cn2an>=0.5.23",
     "einops>=0.8.1",
     "en-core-web-sm",
-    "fastapi==0.115.12",
+    "fastapi==0.136.3",
     "ffmpeg-python>=0.2.0",
     "funasr-onnx==0.4.1",
     "g2p-en>=2.1.0",
-    "huggingface-hub==0.32.4",
+    "huggingface-hub==0.36.2",
     "jieba>=0.42.1",
     "jieba-fast>=0.53",
     "langchain==0.2.17",
@@ -29,10 +29,11 @@ dependencies = [
     "pypinyin>=0.54.0",
     "pytorch-lightning==2.3.1",
     "pywhispercpp",
+    "qwen-asr>=0.0.6",
     "silero-vad==5.1.2",
     "soundfile==0.13.1",
     "torch==2.3.1",
-    "transformers==4.41.2",
+    "transformers==4.57.6",
     "uvicorn==0.34.3",
     "websockets>=15.0.1",
     "wordsegment>=1.3.1",

src/voice_dialogue/asr/manager.py

@@ -93,7 +93,7 @@ class ASRManager:
 
     def __init__(self):
         self._asr_instances: Dict[str, ASRInterface] = {}
-        # 本分支默认使用 Qwen3-ASR；设置 VOICE_DIALOGUE_ASR=legacy 可切回原引擎做 A/B 对比
+        # 默认使用 Qwen3-ASR；设置 VOICE_DIALOGUE_ASR=legacy 可切回原引擎做 A/B 对比
         if os.environ.get('VOICE_DIALOGUE_ASR', 'qwen') == 'legacy':
             self._language_to_asr_mapping = {
                 'zh': 'funasr',  # 中文优先使用FunASR
@@ -105,6 +105,15 @@ class ASRManager:
                 'en': 'qwen',
             }
 
+    def _resolve_unregistered(self, language: str, asr_type: str) -> str:
+        """所选引擎未注册时（如 qwen-asr 未安装）回退到传统引擎。"""
+        fallback = {'zh': 'funasr', 'en': 'whisper'}.get(language)
+        if fallback and fallback in asr_tables.asr_classes:
+            logger.warning(f"ASR引擎 '{asr_type}' 未注册，回退到 '{fallback}'")
+            self._language_to_asr_mapping[language] = fallback
+            return fallback
+        return asr_type
+
     def create_asr(self, language: Literal['auto', 'zh', 'en']) -> ASRInterface:
         """
         根据语言配置创建ASR实例
@@ -122,6 +131,9 @@ class ASRManager:
             # 根据语言选择合适的ASR引擎
             asr_type = self._get_asr_type_for_language(language)
 
+            if asr_type not in asr_tables.asr_classes:
+                asr_type = self._resolve_unregistered(language, asr_type)
+
             if asr_type not in asr_tables.asr_classes:
                 raise ValueError(f"ASR类型 '{asr_type}' 未注册")
 

src/voice_dialogue/tts/runtime/moyoyo.py

@@ -34,6 +34,9 @@ class MoYoYoTTS(TTSInterface):
 
     def setup(self, **kwargs) -> None:
         """设置TTS模块"""
+        from voice_dialogue.tts.weights_migration import ensure_safetensors_weights
+        ensure_safetensors_weights()
+
         tts_config = TTS_Config(self.config.get_runtime_config())
         self.tts_module = TTSModule(tts_config)
         self.tts_module.setup_inference_params(

src/voice_dialogue/tts/weights_migration.py

@@ -0,0 +1,45 @@
+"""TTS 预训练权重 safetensors 迁移。
+
+transformers >= 4.56 的安全策略 (CVE-2025-32434) 拒绝在 torch < 2.6 上加载
+pytorch_model.bin。transformers 加载时优先使用 model.safetensors，因此首次
+启动时把 .bin 转换一次即可，无需升级 torch。
+"""
+from pathlib import Path
+
+from voice_dialogue.config import paths
+from voice_dialogue.utils.logger import logger
+
+PRETRAINED_DIRS = [
+    "chinese-roberta-wwm-ext-large",
+    "chinese-hubert-base",
+]
+
+
+def ensure_safetensors_weights() -> None:
+    """确保 MoYoYo TTS 的预训练权重存在 safetensors 版本，缺失时从 .bin 转换。"""
+    moyoyo_path = Path(paths.TTS_MODELS_PATH) / "moyoyo"
+
+    for dirname in PRETRAINED_DIRS:
+        model_dir = moyoyo_path / dirname
+        bin_path = model_dir / "pytorch_model.bin"
+        st_path = model_dir / "model.safetensors"
+
+        if st_path.exists() or not bin_path.exists():
+            continue
+
+        logger.info(f"[INFO] 首次启动：转换 {dirname} 权重为 safetensors...")
+        try:
+            import torch
+            from safetensors.torch import save_file
+
+            state_dict = torch.load(bin_path, map_location="cpu", weights_only=True)
+            # clone 断开共享内存，safetensors 不允许张量间共享存储
+            state_dict = {
+                key: value.clone().contiguous()
+                for key, value in state_dict.items()
+                if hasattr(value, "clone")
+            }
+            save_file(state_dict, st_path, metadata={"format": "pt"})
+            logger.info(f"[INFO] {dirname} 转换完成: {st_path.stat().st_size // 1024 ** 2} MB")
+        except Exception as e:
+            logger.error(f"[ERROR] 转换 {dirname} 权重失败: {e}")