app.py

import streamlit as st
from bias_detector import Detector

st.title("Multidimensional Multilevel Bias Detection")

level = st.selectbox("Select the Bias Levels:", ("Token","Sentence"))
dimension = st.selectbox("Select the Bias Dimensions:", ("All","Gender","Religion","Race","Profession"))
detector = Detector(level,dimension)
target_sentence = st.text_input("Input the sentence you want to detect:")

def format_results(results):
    formatted = ""
    for result in results:
        for text, pred in result.items():
            formatted += f"**Text**: {text}\n\n"
            formatted += "**Predictions**:\n"
            for token, labels in pred.items():
                formatted += f"- Token: `{token}`\n"
                for label, score in labels.items():
                    formatted += f"    - Label: `{label}`, Score: `{score}`\n"
    return formatted

if st.button("Detect"):
    results = detector.predict([target_sentence])
    formatted_results = format_results(results)
    st.markdown(f"## Detection Results: \n\n {formatted_results}")