A newer version of the Streamlit SDK is available:
1.41.1
metadata
title: GazeGenie
emoji: 🔥
colorFrom: purple
colorTo: purple
sdk: streamlit
sdk_version: 1.38.0
app_file: app.py
pinned: false
license: unknown
GazeGenie
A versatile tool for parsing, cleaning, aligning and analysing fixations from eye-tracking reading experiments
Use via huggingface spaces
In Browser navigate to :
Run via Docker
mkdir results docker run --name gazegenie_app -p 8501:8501 -v $pwd/results:/app/results dockinthehubbing/gaze_genie:latest
In Browser navigate to : http://localhost:8501
To restart container later: docker start -a gazegenie_app
Local installation
Install conda to get python
https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Windows-x86_64.exe
Package installation in Terminal
mamba create -n eye python=3.11 -y mamba activate eye mamba install conda-forge::cairo pip install -r requirements.txt
Run program from Terminal
conda activate eye streamlit run app.py In Browser navigate to : http://localhost:8501