:feat 新增模型配置页面和相关功能

- 新增模型配置页面组件和路由
- 实现模型配置表单和相关逻辑- 添加全局配置入口和功能- 优化首页布局和样式- 新增 404 页面组件
- 更新部分组件样式和结构

backend/app/transcriber/whisper.py

@@ -4,19 +4,14 @@ from app.decorators.timeit import timeit
 from app.models.transcriber_model import TranscriptSegment, TranscriptResult
 from app.transcriber.base import Transcriber
 from app.utils.env_checker import is_cuda_available, is_torch_installed
-from app.utils.logger import get_logger
 from app.utils.path_helper import get_model_dir
 
 from events import transcription_finished
-from pathlib import Path
-import os
-from tqdm import tqdm
-from huggingface_hub import snapshot_download
 
 '''
  Size of the model to use (tiny, tiny.en, base, base.en, small, small.en, distil-small.en, medium, medium.en, distil-medium.en, large-v1, large-v2, large-v3, large, distil-large-v2, distil-large-v3, large-v3-turbo, or turbo
 '''
-logger=get_logger(__name__)
+
 
 class WhisperTranscriber(Transcriber):
     # TODO:修改为可配置
@@ -36,25 +31,15 @@ class WhisperTranscriber(Transcriber):
 
         self.compute_type = compute_type or ("float16" if self.device == "cuda" else "int8")
 
-        model_dir = get_model_dir("whisper")
-        model_path = os.path.join(model_dir, f"whisper-{model_size}")
-        if not Path(model_path).exists():
-            logger.info(f"模型 whisper-{model_size} 不存在，开始下载...")
-            repo_id = f"guillaumekln/faster-whisper-{model_size}"
-            snapshot_download(
-                repo_id,
-                local_dir=model_path,
-                local_dir_use_symlinks=False,
-            )
-            logger.info("模型下载完成")
-
+        model_path = get_model_dir("whisper")
         self.model = WhisperModel(
             model_size,
             device=self.device,
-            compute_type=self.compute_type,
+            # compute_type="int8",  # 或 "float16"
             cpu_threads=cpu_threads,
-            download_root=model_dir
+            download_root=model_path
         )
+
     @staticmethod
     def is_torch_installed() -> bool:
         try: