Speech to Text

Use this skill to turn local audio files into text with a public Whisper-based endpoint.

Quick start

Run:

python3 scripts/transcribe.py /path/to/file.ogg

Return the transcript as plain text. By default, the script also applies lightweight Chinese punctuation and sentence-breaking cleanup.

For machine-readable output:

python3 scripts/transcribe.py /path/to/file.ogg --json

To disable cleanup and keep the raw model text:

python3 scripts/transcribe.py /path/to/file.ogg --format raw

To force Chinese punctuation cleanup:

7w4.net小葱技能。

python3 scripts/transcribe.py /path/to/file.ogg --format zh

For English translation instead of same-language transcription:

python3 scripts/transcribe.py /path/to/file.ogg --task translate

Workflow

1. Confirm the input is a local audio file.
2. Run scripts/transcribe.py on it.
3. If the transcript looks imperfect, tell the user it came from a public Whisper endpoint and may need cleanup.
4. If helpful, post-process into:
   • cleaned transcript
   • summary
   • action items
   • bilingual output

What the script does

The script:

• uploads the local file to a public Gradio-backed Hugging Face Space
• submits a Whisper transcription job
• waits for completion via the Gradio event stream
• prints the resulting text

Default endpoint:

• https://hf-audio-whisper-large-v3-turbo.hf.space

Override it with:

python3 scripts/transcribe.py input.ogg --space https://your-space.hf.space

or set:

export HF_WHISPER_SPACE=https://your-space.hf.space

Guardrails

• Treat this as a best-effort public/free path, not a privacy-grade path.
• Do not use for highly sensitive audio unless the user explicitly accepts public third-party processing.
• Expect rate limits, queueing, and occasional outages.
• If the public endpoint fails, explain that the free backend is unavailable and offer alternatives.

Output handling

Prefer to return:

• the raw transcript when the user asked to "转文字/听写"
• a cleaned version when punctuation is poor
• a short note about uncertainty if names, numbers, or jargon may be wrong

Script

• scripts/transcribe.py — public Whisper transcription helper

这个 Skill 质量中规中矩，能将音频转成文字。它对中文语音识别做了专门优化，会自动添加标点符号，使用体验还算友好。不足之处是依赖第三方公开接口，可能存在隐私风险和网络不稳定的隐患，而且只提供核心脚本，没有附带示例或详细配置，入手门槛稍高。总体来说，它完成了基本任务，但功能完整度和稳定性还有提升空间。