adelekuzmiakova/wids_workshop

📖 Project

This repository hosts the code for the Streamlit application to showcase several fundamental computer vision processing tasks.

💡 Python compatibility:

The code is compatible with Python 3.10.x.

⭐ Starting setup:

In your terminal, navigate to the project repository. It is always a good idea to create an isolated Python environment which will contain dependencies unique to this project:

python3 -m venv env
source env/bin/activate

Install dependencies:

pip install --upgrade pip
pip install -r requirements.txt

💡 Common troubleshooting issues:

Installing Streamlit: If you do get an error Could not build wheels for backports.zoneinfo while installing streamlit, run the following command:

export C_INCLUDE_PATH=/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/Headers

or add it to your .zshrc file, which contains the shell configurations and commands, and source it:

vim ~/.zshrc
export C_INCLUDE_PATH=/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.8/Headers
source ~/.zshrc

🎈 Run the Streamlit app

Run streamlit run main.py from your terminal to deploy the app on local Streamlit server. This should automatically open a new window in your default browser. If it doesn't try Step 2:
Navigate to http://localhost:8501/ in your browser

🎨 Customize the Streamlit UI

Create a .streamlit folder in your repository and add the theme specifications:

vim .streamlit/config.toml

Many configurations options are available here.

adelekuzmiakova / wids_workshop