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Groq Whisper 多 Key 并发语音转写 CLI 工具

Project description

groq-whisper-cli

Groq Whisper 多 Key 并发语音转写 CLI 工具。

功能

  • silero-vad 本地 VAD 智能切片
  • 多 API Key 配额感知负载均衡
  • 429 自动退避 + Key 切换
  • 异步并发协程池
  • 输出 SRT 字幕 + TXT 文本

安装

# 直接通过 uvx 运行(无需安装)
uvx run groq-whisper-cli -i audio.mp3

# 或安装到本地
uv tool install groq-whisper-cli
groq-whisper-cli -i audio.mp3

前置要求

  • Python 3.12+
  • ffmpeg(用于音频提取)

API Key 配置

按优先级查找:

  1. --key-file / -k 参数指定文件(每行一个 key)
  2. 当前目录下的 key.txt
  3. 环境变量 GROQ_API_KEY(多个 key 用逗号分隔)
# 方式一:环境变量
export GROQ_API_KEY="gsk_xxx,gsk_yyy"

# 方式二:key 文件
echo "gsk_xxx" > key.txt
echo "gsk_yyy" >> key.txt

# 方式三:命令行参数
groq-whisper-cli -i audio.mp3 -k /path/to/key.txt

用法

# 基本用法
groq-whisper-cli -i audio.mp3

# 指定语言和输出目录
groq-whisper-cli -i video.mp4 -l en -o ./output

# 多文件处理
groq-whisper-cli -i *.mp4 -w 8

# 完整参数
groq-whisper-cli -i audio.mp3 \
  -k key.txt \
  -o ./transcript \
  -w 4 \
  --chunk-sec 120 \
  -l zh \
  --retries 8

参数

参数 缩写 默认值 说明
input - 必填 输入文件路径,支持通配符
--key-file -k - API Key 文件路径
--out -o ./transcript 输出目录
--workers -w 4 并发 worker 数
--chunk-sec - 120 VAD 切片最大时长(秒)
--lang -l zh ISO-639-1 语言代码
--retries - 8 每个分片最大重试次数

Rate Limits

Groq API rate limits per key (as of 2026-05-29):

Model RPM RPD Audio Sec/Hour Audio Sec/Day
whisper-large-v3 20 2,000 7,200 28,800
whisper-large-v3-turbo 20 2,000 7,200 28,800

This tool uses sliding window rate limiting (20 req/60s per key) to stay within RPM limits. Each API key gets its own dedicated worker to avoid contention.

作为库使用

from groq_whisper import GroqKeyManager, AudioSplitter, GroqTranscriber

key_manager = GroqKeyManager(["gsk_xxx", "gsk_yyy"])
splitter = AudioSplitter(max_chunk_sec=120)
chunks = splitter.split("audio.mp3")

transcriber = GroqTranscriber(key_manager=key_manager, language="zh")
results = asyncio.run(transcriber.transcribe_all(chunks))

License

MIT

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