The quickstart example is a document summarization bot that can take a file, URL or text as input and summarize the content. It uses Open AI APIs. It also includes a LLM builder tool to help youu manage and iterate on prompts and input datasets. A set of sample prompts and datasets are already available and you can bring your own data and refine on prompts.

• Python 3 in your machine
• Setup and activate python virtual environment
  • brew install pyenv-virtualenv
  • python3 -m venv yourownenv
  • source yourownenv/bin/activate
• Install streamlit
  • Pip install streamlit
• Download or git-clone the quickstart project
• Go to main folder of the project and run pip install -r requirements.txt
• Go to src folder and run streamlit run LLM_Builder.py
• The quickstart app will open in localhost

• Sign-up in Verta and get your DevKey - https://app.verta.ai/sign-up
  • Run export VERTA_EMAIL= your verta email
  • Run export VERTA_DEV_KEY=your verta devkey
• You can either use your own Open AI DevKey or Verta will provide a temporary key Run export OPENAI_API_KEY=openAI key