app.py

import streamlit as st
import pandas as pd

def load_data():
    return pd.read_csv("benchmark_data.csv")

def case_insensitive_search(data, query, column):
    if query: 
        return data[data[column].str.lower().str.contains(query.lower())]
    return data

def display_table(data):
    # 设置多级列索引
    data.columns = pd.MultiIndex.from_tuples([
        ("Settings", "Framework"),
        ("Settings", "Chat Model"),
        ("Settings", "Embedding Model"),
        ("Settings", "Chunk"),
        ("Retrieval Metrics", "MRR@10"),
        ("Retrieval Metrics", "Hit@10"),
        ("Response Metrics", "Accuracy")
    ])
    st.dataframe(data, height=600)

def main():
    st.title("Multihop-RAG Benchmark 💡")

    data = load_data()

    st.sidebar.header("Search Options")
    chat_model_query = st.sidebar.text_input("Chat Model")
    embedding_model_query = st.sidebar.text_input("Embedding Model")
    chunk_query = st.sidebar.text_input("Chunk") 
    frame_query = st.sidebar.text_input("Framework") 

    if chat_model_query:
        data = case_insensitive_search(data, chat_model_query, 'chat_model')
    if embedding_model_query:
        data = case_insensitive_search(data, embedding_model_query, 'embedding_model')
    if chunk_query:  
        data = case_insensitive_search(data, chunk_query, 'chunk')
    if frame_query:
        data = case_insensitive_search(data, frame_query, 'framework')

    # 根据需要选择列
    data = data[['framework', 'chat_model', 'embedding_model', 'chunk', 'MRR@10', 'Hit@10', 'Accuracy']]
    display_table(data)

    if st.sidebar.checkbox("Show Metrics Distribution"):
        st.subheader("Metrics Distribution")
        st.bar_chart(data[['MRR@10', 'Hit@10', 'Accuracy']]) 

    st.sidebar.header("Citation")
    st.sidebar.info(
        "Please cite this dataset as:\n"
        "Tang, Yixuan, and Yi Yang. MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries. ArXiv, 2024, /abs/2401.15391."
    )
    st.markdown("---")
    st.caption("For citation, please use: 'Tang, Yixuan, and Yi Yang. MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries. ArXiv, 2024,  /abs/2401.15391. '")
    st.markdown("---")
    st.caption("For results self-reporting, please send an email to ytangch@connect.ust.hk")

if __name__ == "__main__":
    main()