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BiliNote/.env.example
黄建武 a5a523f918 feat(.env.example): 添加 groq 语音识别模型配置选项
- 在 TRANSCRIBER_TYPE 中添加 groq 作为可选的 Apple 平台专用模型
- 新增 GROQ_TRANSCRIBER_MODEL 变量,用于指定 groq 提供的 faster-whisper模型,默认为 whisper-large-v3-turbo
2025-05-12 15:59:04 +08:00

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# 通用端口配置
BACKEND_PORT=8001
FRONTEND_PORT=3015
BACKEND_HOST=0.0.0.0 # 默认为 0.0.0.0,表示监听所有 IP 地址 不建议动
# 前端访问后端用(生产环境建议写公网或宿主机 IP
VITE_API_BASE_URL=http://127.0.0.1:8001
VITE_SCREENSHOT_BASE_URL=http://127.0.0.1:8001/static/screenshots
VITE_FRONTEND_PORT=3015
# 生产环境配置
ENV=production
STATIC=/static
OUT_DIR=./static/screenshots
IMAGE_BASE_URL=/static/screenshots
DATA_DIR=data
# FFMPEG 配置
FFMPEG_BIN_PATH=
# transcriber 相关配置
TRANSCRIBER_TYPE=fast-whisper # fast-whisper/bcut/kuaishou/mlx-whisper/groq(仅Apple平台)
WHISPER_MODEL_SIZE=base
GROQ_TRANSCRIBER_MODEL=whisper-large-v3-turbo # groq提供的faster-whisper 默认为 whisper-large-v3-turbo