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livekit-plugins-reverie
Advanced tools
This plugin provides Indic language speech-to-text capabilities using Reverie's STT API.
Signup here to create API keys.
pip install livekit-plugins-reverie
You need to set the following environment variables:
REVERIE_API_KEY
: Your Reverie API keyREVERIE_APP_ID
: Your Reverie App IDfrom livekit.plugins import reverie
from livekit.agents import stt
# Create STT instance with all available options
reverie_stt = reverie.STT(
language="hi_en", # Language code (default: "hi_en")
domain="generic", # Domain context (default: "generic")
continuous=True, # Continuous streaming (default: True)
silence=0.5, # Return final after silence in seconds (default: 0.5, max: 30)
format="16k_int16", # Audio format (default: "16k_int16")
punctuate=False, # Enable punctuation (default: False)
)
Reverie supports multiple Indian languages. Common language codes include:
hi_en
- Hinglishhi
- Hindien
- Englishbn
- Bengalita
- Tamilte
- Telugumr
- Marathigu
- Gujaratikn
- Kannadaml
- Malayalampa
- Punjabior
- Odiaas
- Assameselanguage
: Language code for recognition (e.g., "hi_en", "hi", "en", "bn") - Default: "hi_en"domain
: Context domain for transcription (e.g., "generic") - Default: "generic"format
: Audio format specification - Default: "16k_int16"sample_rate
: Audio sample rate in Hz - Default: 16000FAQs
Agent Framework plugin for services using Reverie's API.
We found that livekit-plugins-reverie demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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