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:

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:

7w4.net小蔥技能。

• the raw transcript when the user asked to "轉文字/聽寫"
• 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

這個 Skill 質量中規中矩，能將音訊轉成文字。它對中文語音識別做了專門最佳化，會自動新增標點符號，使用體驗還算友好。不足之處是依賴第三方公開介面，可能存在隱私風險和網路不穩定的隱患，而且只提供核心指令碼，沒有附帶示例或詳細配置，入手門檻稍高。總體來說，它完成了基本任務，但功能完整度和穩定性還有提升空間。