This package supports Python 3.11 and above. We recommend using a virtual environment to install this package, e.g.,
conda create -n socialstream python=3.11; conda activate socialstream; curl -sSL https://install.python-poetry.org | python3
poetry install
streamlit run app.py
Before that you should specify a Redis database by conda env config vars set REDIS_OM_URL={YOUR_URL}. You can also 1. Specify a new database in the sidebar, or 2. Include your temporary scenario in data with suffix _agents.json and _scenarios.json.
First choose the agents (two agents cannot be the same), scenarios and the agent you are going to be, then click start to start interaction. When you want to leave and get evaluated, click stop to start evaluation.
mypy --install-types --non-interactive socialstream
pip install pre-commit
pre-commit installgit checkout -b feature/feature-name and PR to main branch.
Run pre-commit run --all-files to run all checks
Check the github action result to make sure all tests pass. If not, fix the errors and push again.
From Streamlit documentation on session state.
"When updating Session state in response to events, a callback function gets executed first, and then the app is executed from top to bottom."
In this code, we utilize callbacks to handle the clickability of buttons and ensure that any edited information is promptly and accurately updated.