10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
voice2text
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slug: voice2text title: Voice to Text description: Offline speech-to-text skill using Vosk local model. author: lxxtad license: MIT
入口: main.py implements run(params) – pass {"audio":"path/to.wav"} and get {"text":"transcript"}.
依赖: vosk, pytest.
使用示例:
clawhub install voice2text
clawhub run voice2text '{"audio":"sample.wav"}'
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离线语音转文字技能(Python + Vosk)
本项目演示如何使用 Vosk 离线模型实现语音转文字,并在 ClawHub 中封装为可发布的技能。
# 安装依赖
pip install -r requirements.txt
# 运行示例(确保有 sample.wav)
python main.py '{"audio": "sample.wav"}'
voice2text/
├─ main.py # 技能入口
├─ package.json # ClawHub 元信息
├─ requirements.txt # Python 依赖
├─ model/ # 下载的 Vosk 模型(自行放置)
└─ tests/
└─ test_main.py # 单元测试
# voice2text
slug: voice2text
title: Voice to Text
description: Offline speech-to-text skill using Vosk local model.
author: lxxtad
license: MIT
**入口**: `main.py` implements `run(params)` – pass `{"audio":"path/to.wav"}` and get `{"text":"transcript"}`.
**依赖**: `vosk`, `pytest`.
**使用示例**:
```bash
clawhub install voice2text
clawhub run voice2text '{"audio":"sample.wav"}'
```# voice2text
离线语音转文字技能(Python + Vosk)
## 介绍
本项目演示如何使用 **Vosk** 离线模型实现语音转文字,并在 **ClawHub** 中封装为可发布的技能。
## 快速上手
```bash
# 安装依赖
pip install -r requirements.txt
# 运行示例(确保有 sample.wav)
python main.py '{"audio": "sample.wav"}'
```
## 目录结构
```
voice2text/
├─ main.py # 技能入口
├─ package.json # ClawHub 元信息
├─ requirements.txt # Python 依赖
├─ model/ # 下载的 Vosk 模型(自行放置)
└─ tests/
└─ test_main.py # 单元测试
```generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
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