fix(mlx-whisper): 修正 huggingface 仓库 ID 命名

mlx-community 上 Whisper 仓库的命名实际是 'whisper-{size}-mlx'（large-v3-turbo 例外，无 -mlx 后缀）。
之前 hardcode 拼成 'mlx-community/whisper-{size}' 在 HF 上不存在，下载会 404：

  Repository Not Found for url:
    https://huggingface.co/api/models/mlx-community/whisper-small/revision/main.

修复：
- 在 mlx_whisper_transcriber.py 加 MLX_MODEL_MAP（已用 huggingface API 核对过命名）+ resolve_mlx_repo_id() 帮助函数
- routers/config.py 的 _do_download_mlx_whisper 与 _check ... 路径生成都改用同一份映射表
- 给 transcriber_models_status 的每条 mlx 状态加 available 字段，避免后续若有不支持的 size 时静默失败

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

backend/app/routers/config.py

@@ -110,15 +110,19 @@ def get_transcriber_models_status():
     mlx_available = platform.system() == "Darwin"
     mlx_statuses = []
     if mlx_available:
+        from app.transcriber.mlx_whisper_transcriber import MLX_MODEL_MAP
         for size in WHISPER_MODEL_SIZES:
             mlx_key = f"mlx-{size}"
             model_dir = get_model_dir("mlx-whisper")
-            model_path = os.path.join(model_dir, f"mlx-community/whisper-{size}")
-            downloaded = Path(model_path).exists()
+            repo_id = MLX_MODEL_MAP.get(size)
+            # 模型在本地按 repo_id（如 mlx-community/whisper-small-mlx）落盘
+            model_path = os.path.join(model_dir, repo_id) if repo_id else None
+            downloaded = bool(model_path and Path(model_path).exists())
             mlx_statuses.append({
                 "model_size": size,
                 "downloaded": downloaded,
                 "downloading": _downloading.get(mlx_key) == "downloading",
+                "available": repo_id is not None,
             })
 
     return R.success(data={
@@ -164,15 +168,22 @@ def _do_download_mlx_whisper(model_size: str):
     try:
         _downloading[key] = "downloading"
         from huggingface_hub import snapshot_download as hf_download
+        from app.transcriber.mlx_whisper_transcriber import resolve_mlx_repo_id
+
+        try:
+            repo_id = resolve_mlx_repo_id(model_size)
+        except ValueError as e:
+            logger.error(str(e))
+            _downloading[key] = "failed"
+            return
 
         model_dir = get_model_dir("mlx-whisper")
-        model_name = f"mlx-community/whisper-{model_size}"
-        model_path = os.path.join(model_dir, model_name)
+        model_path = os.path.join(model_dir, repo_id)
         if Path(model_path).exists():
             _downloading[key] = "done"
             return
-        logger.info(f"开始下载 mlx-whisper 模型: {model_size}")
-        hf_download(model_name, local_dir=model_path, local_dir_use_symlinks=False)
+        logger.info(f"开始下载 mlx-whisper 模型: {model_size} ← {repo_id}")
+        hf_download(repo_id, local_dir=model_path, local_dir_use_symlinks=False)
         logger.info(f"mlx-whisper 模型下载完成: {model_size}")
         _downloading[key] = "done"
     except Exception as e:

backend/app/transcriber/mlx_whisper_transcriber.py

@@ -13,6 +13,31 @@ from events import transcription_finished
 
 logger = get_logger(__name__)
 
+
+# mlx-community 上的 Whisper 仓库命名不统一：常规版本是 'whisper-{size}-mlx'，
+# turbo 例外没有 -mlx 后缀。直接拼 'mlx-community/whisper-{size}' 会 404。
+# 已用 https://huggingface.co/api/models?author=mlx-community&search=whisper 核对过。
+MLX_MODEL_MAP = {
+    "tiny": "mlx-community/whisper-tiny-mlx",
+    "base": "mlx-community/whisper-base-mlx",
+    "small": "mlx-community/whisper-small-mlx",
+    "medium": "mlx-community/whisper-medium-mlx",
+    "large-v1": "mlx-community/whisper-large-v1-mlx",
+    "large-v2": "mlx-community/whisper-large-v2-mlx",
+    "large-v3": "mlx-community/whisper-large-v3-mlx",
+    "large-v3-turbo": "mlx-community/whisper-large-v3-turbo",
+}
+
+
+def resolve_mlx_repo_id(model_size: str) -> str:
+    if model_size not in MLX_MODEL_MAP:
+        raise ValueError(
+            f"不支持的 MLX Whisper 模型大小: {model_size}。"
+            f"可选: {', '.join(MLX_MODEL_MAP.keys())}"
+        )
+    return MLX_MODEL_MAP[model_size]
+
+
 class MLXWhisperTranscriber(Transcriber):
     def __init__(
             self,
@@ -21,13 +46,13 @@ class MLXWhisperTranscriber(Transcriber):
         # 检查平台
         if platform.system() != "Darwin":
             raise RuntimeError("MLX Whisper 仅支持 Apple 平台")
-            
+
         # 检查环境变量
         if os.environ.get("TRANSCRIBER_TYPE") != "mlx-whisper":
             raise RuntimeError("必须设置环境变量 TRANSCRIBER_TYPE=mlx-whisper 才能使用 MLX Whisper")
-            
+
         self.model_size = model_size
-        self.model_name = f"mlx-community/whisper-{model_size}"
+        self.model_name = resolve_mlx_repo_id(model_size)
         self.model_path = None
         
         # 设置模型路径