Skip to content

esborisova/HOPE-Twitter-Analytics

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

38 Commits
 
 
 
 
 
 
 
 

Repository files navigation

HOPE Twitter Analytics

The code for creating the Streamlit App for the HOPE project. It contains various visual representations of the linguistic analysis of Danish Twitter data.

👩‍💻 Usage

  1. Install Pipenv
pip install pipenv
  1. Create a new environment
  • Navigate to the project folder:
cd streamlit_app
  • Create a new Pipenv environment in that folder and activate it:
pipenv shell
  1. Install Streamlit in the created environment:
pip install streamlit
  1. Test that Streamlit was installed:
streamlit hello

If the installation worked, Streamlit's Hello app will appear in a new tab in a web browser.

  1. Run the following command line to see the app:
streamlit run main.py

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published