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