Predict expenditure changes using OpenAI API using forecasted CPI.
uses flask to stand-up endpoints that can take parameters and hit openai api with predefined prompts
required:
- python
- poetry
cd into backend folder
set local env var for openai key:
export openai_api_key=blah
install dependencies:
poetry install
run app:
poetry run flask run
endpoint to see the current cpi:
http://localhost:5000/api/cpi/value
endpoint to hit openai:
http://localhost:5000/api/cpi/process
values will be passed through from the frontend
run linter:
poetry run black .
uses vite to stand-up a react web ui that takes input from users, which are passed to the backend to hit openai with a prompt and display the response
required:
- yarn
cd into frontend folder
install dependencies:
yarn install
run app:
run yarn dev
access web ui:
run linter:
yarn lint