القائمة
Use for translation nodes in dora. Triggers on: dora-opus, dora-argotranslate, translation, translate, opus, argos, language translation, multilingual, 翻译, 多语言
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Use for dora CLI command questions. Triggers on: dora run, dora build, dora start, dora stop, dora new, dora up, dora destroy, dora list, dora ps, dora logs, dora check, dora graph, dora daemon, dora coordinator, CLI命令, 命令行, 运行数据流, 构建, 启动, 停止
Use for data recording and replay questions with dora. Triggers on: recording, replay, lerobot, data collection, dataset, rosbag, record data, play back, training data, HDF5, parquet, 数据记录, 数据回放, 数据收集, 训练数据
Use for dora-rs dataflow YAML configuration questions. Triggers on: dataflow.yml, dataflow.yaml, nodes:, inputs:, outputs:, timer, dora/timer, queue_size, env:, build:, path:, git:, branch:, tag:, restart_policy, send_stdout_as, operator:, operators:, YAML配置, 数据流配置, 节点配置, 输入输出, 定时器
Use for audio processing pipeline questions with dora. Triggers on: speech, TTS, STT, voice, audio, Whisper, Kokoro, text-to-speech, speech-to-text, voice activity, VAD, microphone, 语音, 音频, 文本转语音, 语音转文本, 语音识别
Use for robot control pipeline questions with dora. Triggers on: robot, arm, chassis, actuator, servo, motor, gripper, kinematics, FK, IK, URDF, joint, position control, velocity control, serial port, 机器人, 机械臂, 底盘, 执行器, 舵机, 电机, 运动学
Use for ML/Vision pipeline questions with dora. Triggers on: YOLO, detection, object detection, segmentation, tracking, VLM, SAM, camera, webcam, image processing, bbox, bounding box, rerun, visualization, 视觉, 目标检测, 分割, 跟踪, 摄像头, 图像处理
استنادا إلى تصنيف SOC المهني
| name | hub-translation |
| description | Use for translation nodes in dora. Triggers on: dora-opus, dora-argotranslate, translation, translate, opus, argos, language translation, multilingual, 翻译, 多语言 |
| globs | ["**/dataflow.yml","**/dataflow.yaml"] |
| source | https://github.com/dora-rs/dora-hub |
Translate text between languages using neural machine translation
Note: Dedicated translation nodes are not yet in node-hub. Use LLM-based translation with dora-qwen or dora-qwen2-5-vl.
| Method | Install | Description |
|---|---|---|
| dora-qwen | pip install dora-qwen | LLM-based translation |
| dora-transformers | pip install dora-transformers | Huggingface models |
Use Qwen LLM for translation tasks.
- id: translate
build: pip install dora-qwen
path: dora-qwen
inputs:
text: whisper/text
outputs:
- text
env:
SYSTEM_PROMPT: "You are a translator. Translate the following text from English to Chinese. Output only the translation."
Qwen supports translation between most major language pairs including:
Use Huggingface translation models via dora-transformers.
- id: translate
build: pip install dora-transformers
path: dora-transformers
inputs:
text: input/text
outputs:
- text
env:
MODEL: Helsinki-NLP/opus-mt-en-zh
TASK: translation
nodes:
# Microphone
- id: microphone
build: pip install dora-microphone
path: dora-microphone
inputs:
tick: dora/timer/millis/100
outputs:
- audio
# VAD
- id: vad
build: pip install dora-vad
path: dora-vad
inputs:
audio: microphone/audio
outputs:
- audio
# Speech to text
- id: whisper
build: pip install dora-distil-whisper
path: dora-distil-whisper
inputs:
input: vad/audio
outputs:
- text
env:
TARGET_LANGUAGE: english
# Translation (using LLM)
- id: translate
build: pip install dora-qwen
path: dora-qwen
inputs:
text: whisper/text
outputs:
- text
env:
SYSTEM_PROMPT: "Translate to Chinese:"
# TTS for translated text
- id: tts
build: pip install dora-kokoro-tts
path: dora-kokoro-tts
inputs:
text: translate/text
outputs:
- audio
# Speaker
- id: speaker
build: pip install dora-pyaudio
path: dora-pyaudio
inputs:
audio: tts/audio
# Visualization
- id: rerun
build: pip install dora-rerun
path: dora-rerun
inputs:
original:
source: whisper/text
metadata:
primitive: "text"
translated:
source: translate/text
metadata:
primitive: "text"
Use multiple dora-qwen instances with different translation prompts:
nodes:
- id: input
build: pip install terminal-input
path: terminal-input
outputs:
- text
# English to Chinese
- id: en_to_zh
build: pip install dora-qwen
path: dora-qwen
inputs:
text: input/text
outputs:
- text
env:
SYSTEM_PROMPT: "Translate the following text to Chinese. Output only the translation."
# English to Japanese
- id: en_to_ja
build: pip install dora-qwen
path: dora-qwen
inputs:
text: input/text
outputs:
- text
env:
SYSTEM_PROMPT: "Translate the following text to Japanese. Output only the translation."
# English to Spanish
- id: en_to_es
build: pip install dora-qwen
path: dora-qwen
inputs:
text: input/text
outputs:
- text
env:
SYSTEM_PROMPT: "Translate the following text to Spanish. Output only the translation."
- id: rerun
build: pip install dora-rerun
path: dora-rerun
inputs:
original: input/text
chinese: en_to_zh/text
japanese: en_to_ja/text
spanish: en_to_es/text
import pyarrow as pa
# Send text for translation
text = "Hello, how are you?"
node.send_output("text", pa.array([text]))
# Receive translated text
translated = event["value"][0].as_py()