deepgram-python-conversational-stt

Name: deepgram-python-conversational-stt
Availability: InStock
Author: Deepgram

Implement turn-aware streaming transcription with Deepgram Conversational STT v2 Flux in Python.

456|139|Updated May 12, 2021

Search Tags:#transcription #flux #python-sdk #conversational-stt #listen-v2 #end-of-turn

Ready to run

npx skills add https://github.com/deepgram/deepgram-python-sdk --skill deepgram-python-conversational-stt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deepgram-python-conversational-stt
Source: https://github.com/deepgram/deepgram-python-sdk/tree/main/.agents/skills/deepgram-python-conversational-stt
Command: npx skills add https://github.com/deepgram/deepgram-python-sdk --skill deepgram-python-conversational-stt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Writing or reviewing Python code that uses Deepgram Conversational STT v2 / Flux to perform turn-aware streaming transcription can be challenging due to model setup, event handling, and end-of-turn logic.

Core Features & Use Cases

Supports Flux models (flux-general-en, flux-general-multi) for turn-aware transcription with end-of-turn detection.
Demonstrates how to connect to v2 Listen, handle ListenV2TurnInfo events, and manage streaming audio data for real-time transcripts.
Ideal for building conversational UIs, real-time transcription dashboards, or interactive agents that require explicit turn boundaries.

Quick Start

Connect using Flux v2 by calling the Python SDK and start turn-aware streaming transcription.

Frequently Asked Questions about deepgram-python-conversational-stt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I implement turn-aware streaming transcription with Deepgram in Python?▼

Turn-aware streaming transcription is implemented by initializing DeepgramClient, connecting via listen.v2, and handling ListenV2TurnInfo events to manage explicit turn boundaries in real-time conversational UIs.

What Deepgram Flux models support end-of-turn detection for conversational agents?▼

Flux models supporting end-of-turn detection are flux-general-en and flux-general-multi, which enable turn-aware transcription for real-time conversational agents and interactive dashboards across various Python environments.

How do I handle ListenV2TurnInfo events when using Deepgram Conversational STT v2?▼

ListenV2TurnInfo events are handled by connecting to the v2 Listen endpoint through the Python SDK and configuring model options to capture streaming audio data with explicit turn boundaries and error handling.

Can I use Deepgram Python SDK for real-time transcription with end-of-turn detection?▼

The Deepgram Python SDK enables real-time transcription with end-of-turn detection by connecting via listen.v2 and handling ListenV2TurnInfo events, making it ideal for building conversational UIs and interactive agents requiring explicit turn boundaries.

What's the best way to configure Deepgram Flux models for conversational STT in Python?▼

The best way to configure Flux models for conversational STT is by initializing DeepgramClient, connecting through listen.v2, and setting up event handlers for ListenV2TurnInfo events with proper model options and error handling.