JournoBench

A Streamlit dashboard for evaluating AI models' performance on news writing tasks based on user feedback data stored in Firestore.

Setup

1. Make sure you have Python 3.7+ installed
2. Install required packages:

   pip install -r requirements.txt
   

3. Make sure your Firebase credentials are properly set up in .streamlit/secrets.toml

Running the App

Run the app with:

streamlit run app.py

The app will be available at http://localhost:8501

Features

• View and filter user evaluations of AI model outputs
• Compare performance across different news writing tasks
• Filter by task type (Headlines, Newsletter Writing, etc.)

Project Structure

• app.py - Main Streamlit application
• .streamlit/secrets.toml - Firebase credentials (not tracked in git)
• requirements.txt - Python dependencies