Skynet

Skynet is an API server for AI services wrapping several apps and models.

It is comprised of specialized modules which can be enabled or disabled as needed.

Summary and Action Items with vllm (or llama.cpp)
Live Transcriptions with Faster Whisper via websockets
🚧 More to follow

Requirements

Poetry
Redis

Summaries Quickstart

# if VLLM cannot be used, make sure to have Ollama started. In that case LLAMA_PATH should be the model name, like "llama3.1".
export LLAMA_PATH="$HOME/models/Llama-3.1-8B-Instruct-Q8_0.gguf"

# disable authorization (for testing)
export BYPASS_AUTHORIZATION=1

# start Redis
docker run -d --rm -p 6379:6379 redis 

poetry install
./run.sh

# open http://localhost:8000/summaries/docs in a browser

Live Transcriptions Quickstart

Note: Make sure to have ffmpeg < 7 installed and to update the DYLD_LIBRARY_PATH with the path to the ffmpeg libraries, e.g. export DYLD_LIBRARY_PATH=/Users/MyUser/ffmpeg/6.1.2/lib:$DYLD_LIBRARY_PATH.

mkdir -p "$HOME/models/streaming-whisper"
export WHISPER_MODEL_NAME="tiny.en"
export BYPASS_AUTHORIZATION="true"
export ENABLED_MODULES="streaming_whisper"
export WHISPER_MODEL_PATH="$HOME/models/streaming-whisper"

poetry install
./run.sh

Testing docker changes

docker compose -f compose-dev.yaml up --build
docker cp $HOME/models/Llama-3.1-8B-Instruct-Q8_0.gguf skynet-web-1:/models
docker restart skynet-web-1

# localhost:8000 for Skynet APIs
# localhost:8001/metrics for Prometheus metrics

Test it from Github Pages

Go to Streaming Whisper Demo to test your deployment from a browser

Run the demo yourself

Go to demos/streaming-whisper/ and start a Python http server.

python3 -m http.server 8080

Open http://127.0.0.1:8080.

Documentation

Detailed documentation on how to configure, run, build and monitor Skynet and can be found in the docs.

Development

If you want to contribute, make sure to install the pre-commit hook for linting.

poetry run githooks setup

License

Skynet is distributed under the Apache 2.0 License.

jitsi / skynet

readme