genai-training

Practicum environment and application blueprint for GenAI Training

Pre-requisite

• You should have API keys you plan to use in environment variable.
  ex:

  export EDENAI_API_KEY='eyJhbGc.....'
  export AZURE_OPENAI_API_KEY="18f5ac....'
  

Install

• Create environment and update

  poetry shell  
  poetry update
  export PYTHONPATH=":./python"
  

• edit app_conf.yaml
  • Change default llm and embeddings model if needed
• Tests:

  • Test with CLI:

    python python/main_cli.py run "joke" 
    

  • Test with Streamlit webapp

    make webapp
    

    select "Runnable Playground", then "joke"

  • Test with FastAPI

    make fast_api
    

    enter http://127.0.0.1:8000/docs

  • Test with LangServe : TODO