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import streamlit as st | |
import pandas as pd | |
# Title and description | |
st.title("Benchmark Overview") | |
st.write("This application displays an overview of various benchmarks, their details, and related information in a clean and readable format.") | |
# Simulated CSV data (replace this with actual CSV reading if available) | |
data = pd.read_csv("https://huggingface.co/spaces/UlrickBL/benchmark_overview/blob/main/Benchmark%20overview%20-%20Feuille%201.csv") | |
# Display DataFrame in a nice format | |
st.write("### Benchmark Details Table") | |
st.dataframe(df, use_container_width=True) | |
# Optionally add additional details or filters | |
st.write("### Explore Benchmarks") | |
selected_task = st.selectbox("Select an Evaluated Task", options=df["Evaluated task"].unique()) | |
filtered_data = df[df["Evaluated task"] == selected_task] | |
st.write(filtered_data) |