The directory of the project is in the evadb-venv folder.

After installing the prerequisite libraries using pipenv, run python -m run_evadb to test out the program. There is a requirements.txt file for you to use, it contains the libraries on top of EvaDB that you will need.

The program will ask you for an OpenAI key, after which, it will ask you for the name of the company. It will then prompt you for a series of search queries, the more queries you provide, the more accurate the program will be when determining layoffs. There is bias based on your input, so make sure to choose accordingly. Inputting end will terminate your input and start the program. The default searches are "COMPANY_NAME layoffs", "COMPANY_NAME financials and funding", and "COMPANY_NAME hiring".

The program uses Google to scrape, so you may get timed out occasionally. The program now uses DataFetcher as an integrated EvaDB function, and the CREATE FUNCTION IF NOT EXISTS DataFetcher IMPL './evadb-venv/DataFetcher.py line in run_evadb.py references the DataFetcher.py file. Since I run the program in the root directory, there isn't a problem. However, if you're running the project from a different directory, you may have to change this line for it to reference the function properly.