app.py

import streamlit as st

st.set_page_config(
    page_title="Holistic AI - LLM Risks",
    page_icon="👋",
    layout='wide'
)


import json
import os
from huggingface_hub import HfApi, login
from streamlit_cookies_manager import EncryptedCookieManager
import re

def program():
    dataset_name = "holistic-ai/LLM-Risks"
    token = os.getenv("HF_TOKEN")
    
    api = HfApi()
    login(token)
    
    repo_path = api.snapshot_download(repo_id=dataset_name, repo_type="dataset")
    
    with open(f'{repo_path}/risk_annotation_consolidated.json') as file:
            data = json.load(file)

    task_names = list(set([item['task'] for item in data]))

    def camel_to_whitespace(camel_str):
        spaced_str = re.sub(r'([A-Z])', r' \1', camel_str).lower()
        spaced_str = spaced_str.strip().title()
        return spaced_str

    task_2_task_string = {task: camel_to_whitespace(task) for task in task_names}
    task_string_2_task = {task_string:task for task,task_string in task_2_task_string.items()}
    task_strings = [task_2_task_string[t] for t in task_names]


    # Sidebar filters
    with st.sidebar:    
        st.sidebar.image("hai_logo.png", width=150, use_column_width=True)
        st.header("Filters")
        # Extract unique task names and groups
        
        selected_task_string = st.selectbox("Select a Task", task_strings)
        selected_task = task_string_2_task[selected_task_string]


        # Filter data based on selected task
        filtered_data_by_task = [item for item in data if item['task'] == selected_task]

        groups = list(set([item['group'] for item in filtered_data_by_task]))
        selected_group = st.selectbox("Select a Risk Group", groups)

        # Filter data based on selected group
        filtered_data_by_group = [item for item in filtered_data_by_task if item['group'] == selected_group]
        
        st.divider()

        st.sidebar.markdown(f"**Task**: {selected_task_string}")
        st.sidebar.markdown(f"**Risk Group**: {selected_group}")
    # CSS for reducing the vertical spacing between <p> tags, justifying text, and ensuring equal height cards
    st.markdown("""
        <style>
        .card {
            border: 1px solid #ddd;
            border-radius: 10px;
            padding: 10px;
            margin: 10px;
            height: 100%;
            display: flex;
            flex-direction: column;
            justify-content: space-between;
            box-sizing: border-box;
            background-color: #e4e8f5;
        }
        .card h3 {
            margin-top: 0;
            background-color: #e4e8f5;
        }
        .card p {
            margin: 2px 0;
            padding: 0;
            text-align: justify;
            background-color: #e4e8f5;
        }
        .stApp {
            max-width: 100%;
            padding: 1rem;
        }
        .grid {
            display: flex;
            flex-wrap: wrap;
            justify-content: space-between;
        }
        .grid-item {
            flex: 1 0 23%; /* 4 items per row */
            box-sizing: border-box;
            margin: 1%;
            display: flex;
        }
        .grid-item .card {
            flex: 1;
            display: flex;
            flex-direction: column;
            justify-content: space-between;
            background-color: #e4e8f5;
        }
        @media (max-width: 1200px) {
            .grid-item {
                flex: 1 0 46%; /* 2 items per row */
            }
        }
        @media (max-width: 768px) {
            .grid-item {
                flex: 1 0 96%; /* 1 item per row */
            }
        }
        </style>
        """, unsafe_allow_html=True)

    sidebar_style = """
    <style>
        [data-testid="stSidebar"] {
            background-color: white;
        }
    </style>
    """

    # Aplica el estilo al sidebar
    st.markdown(sidebar_style, unsafe_allow_html=True)

    #st.title("LLM Risks and Mitigators")


    tabs = st.tabs(["Examples", "Mitigators"])

    with tabs[0]:
        # Display the filtered news as a grid of cards
        if len(filtered_data_by_group) > 0:
            for risk in set([item['risk'] for item in filtered_data_by_group]):
                st.header(risk)
                # Filter data based on current risk
                filtered_data_by_risk = [item for item in filtered_data_by_group if item['risk'] == risk]
                
                # Define the number of columns
                num_columns = 3
                col_index = 0

                # Create an empty container for the grid
                grid = st.container()
                
                # Initialize an empty row
                row = grid.columns(num_columns)
                
                for item in filtered_data_by_risk:
                    for news in item['examples']:
                        with row[col_index]:
                            st.markdown(
                                f"""
                                <div class="grid-item">
                                    <div class="card">
                                        <h3>{news['title']}</h3>
                                        <p>{news['incident']}</p>
                                        <a href="{news['link']}" target="_blank">Read more</a>
                                    </div>
                                </div>
                                """, 
                                unsafe_allow_html=True
                            )
                        col_index = (col_index + 1) % num_columns
                        # Start a new row after the last column
                        if col_index == 0:
                            row = grid.columns(num_columns)

        if len(filtered_data_by_group) == 0:
            st.write("No news found for the selected task and group.")

    with tabs[1]:
        # Display the filtered news as a grid of cards
        if len(filtered_data_by_group) > 0:
            for risk in set([item['risk'] for item in filtered_data_by_group]):
                st.header(risk)
                # Filter data based on current risk
                filtered_data_by_risk = [item for item in filtered_data_by_group if item['risk'] == risk]
                
                # Define the number of columns
                num_columns = 3
                col_index = 0

                # Create an empty container for the grid
                grid = st.container()
                
                # Initialize an empty row
                row = grid.columns(num_columns)
                
                for item in filtered_data_by_risk:
                    for news in item['mitigators']:
                        with row[col_index]:
                            st.markdown(
                                f"""
                                <div class="grid-item">
                                    <div class="card">
                                        <h3>{news['title']}</h3>
                                        <p>{news['recommendation']}</p>
                                        <p><b>Year:</b> {news['year']}</p>
                                        <a href="{news['link']}" target="_blank">Read more</a>
                                    </div>
                                </div>
                                """, 
                                unsafe_allow_html=True
                            )
                        col_index = (col_index + 1) % num_columns
                        # Start a new row after the last column
                        if col_index == 0:
                            row = grid.columns(num_columns)

        if len(filtered_data_by_group) == 0:
            st.write("No news found for the selected task and group.")

SECRET_KEY = os.getenv('SECRET_KEY')

cookies = EncryptedCookieManager(
    prefix="login",
    password=os.getenv('COOKIES_PASSWORD')
)

if not cookies.ready():
    st.stop()

def main():
    # Título de la aplicación
    st.title("LLM Mitigation")

    if not cookies.get("authenticated"):
        # Entrada de la clave secreta
        user_key = st.text_input("Password:", type="password")

        if st.button("Login"):
            # Verificar si la clave ingresada coincide con la clave secreta
            if user_key == SECRET_KEY:
                cookies.__setitem__("authenticated", "True")
                st.experimental_rerun()
            else:
                st.error("Acceso denegado. Clave incorrecta.")
    else:
        program()
if __name__ == "__main__":
    main()