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 # Data Stories
+A [streamlit](https://streamlit.io/) app for designing and creating data stories using data from
+[The Tuva Project](https://thetuvaproject.com/)
+
+## Enivronment setup
+This repo requires a few python packages to run the streamlit app, connect to S3, etc.
+The list of required packages can be found in the `requirements.txt` file in the root of this repo.
+Once you are within you desired working python env (or conda, venv), run the following to install the needed libraries
+
+```pip install -r requirements.txt```
+
+## Configuration
+Currently, this app uses a `.env` file to store secrets and sensitive information needed for runtime. Create a `.env`
+file in the repo root folder and add the following key/value pairs to the file.
+```
+SNOWFLAKE_USER = <username goes here>
+SNOWFLAKE_PASSWORD = <password goes here>
+SNOWFLAKE_ACCOUNT = <snowflake account url>
+SNOWFLAKE_WH = <name of desired warehouse to use>
+SNOWFLAKE_ROLE = <name of desired role to use>
+```
+
+## App Start Up
+Once the python libraries are installed and the `.env` file has been configured, the streamlit app can be started
+by running the following:
+
+```streamlit run main_page.py```
+
+The app should launch in a tab in your default internet browser, or can be reached by going to http://localhost:8501
+
+## Pre-Commit
+For code contribution, we use [pre-commit](https://pre-commit.com/) and [black](https://pypi.org/project/black/)
+for automated code formatting. Before contributing code to the repo, please run the following from the repo root
+folder to set up pre-commit to run:
+
+```pre-commit install```
+
+After successful setup, any files with changes that you are trying to commit to your branch will be checked and
+reformatted whenever you run `git commit ...`