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VoiceStreamAI

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alesaccoia/VoiceStreamAI

Near-Realtime audio transcription using self-hosted Whisper and WebSocket in Python/JS

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Python MITCreated Dec 26, 2023

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Overview

Near-Realtime audio transcription using self-hosted Whisper and WebSocket in Python/JS

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 11, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 11, 2026

Languages
python

Source: github.language · Jul 11, 2026

Categories

Vector DatabasesModel TrainingInference & Serving

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

To set up the VoiceStreamAI server, you need Python 3.8 or later and the
Source link

Tags

aispeech-to-textpythonwebsocketspeech-recognition

README

Running with Docker

This will not guide you in detail on how to use CUDA in docker, see for example here.

Still, these are the commands for Linux:

distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
&& curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

sudo nvidia-ctk runtime configure --runtime=docker

sudo systemctl restart docker

You can build the container image with:

sudo docker build -t voicestreamai .

After getting your VAD token (see next sections) run:

sudo docker volume create huggingface_models

sudo docker run --gpus all -p 8765:8765 -v huggingface_models:/root/.cache/huggingface  -e PYANNOTE_AUTH_TOKEN='VAD_TOKEN_HERE' voicestreamai

The "volume" stuff will allow you not to re-download the huggingface models each time you re-run the container. If you don't need this, just use:

sudo docker run --gpus all -p 8765:8765 -e PYANNOTE_AUTH_TOKEN='VAD_TOKEN_HERE' voicestreamai

Normal, Manual Installation

To set up the VoiceStreamAI server, you need Python 3.8 or later and the following packages:

  1. transformers
  2. pyannote.core
  3. pyannote.audio
  4. websockets
  5. asyncio
  6. sentence-transformers
  7. faster-whisper

Install these packages using pip:

pip install -r requirements.txt

For the client-side, you need a modern web browser with JavaScript support.