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Steps when initiating a new ML python project

  1. Create folder structure

  2. Configure pyenv

pyenv local 3.10
  1. Initialize poetry
poetry init
  1. Initialize pre-commit
pre-commit install

TTS HTTP Server with Piper TTS

  1. Clone Piper-TTS repository
git clone https://github.com/rhasspy/piper.git
  1. Go to python_run folder
cd piper/src/python_run
  1. Install piper-tts
pip install -e .
  1. Install requirements for the http_server
pip install -r requirements_http.txt
  1. Download onxx pretrained models from the repository [link]

  2. Run http_server with:

screen python -m piper.http_server --model <model_name>

LLM HTTP Server with Ollama

  1. Install ollama
curl -fsSL https://ollama.com/install.sh | sh
  1. Init ollama server
screen -S llm ollama serve
  1. Test and download llm model
ollama run llama3

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