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| import streamlit as st | |
| import single | |
| import corpus | |
| from PIL import Image | |
| PAGES = { | |
| "Instance Explanation": single, | |
| "Dataset Explanation": corpus, | |
| } | |
| logo = Image.open("static/logo.png") | |
| st.sidebar.image(logo) | |
| st.sidebar.title("*ferret* showcase") | |
| st.sidebar.markdown( | |
| """ | |
| Welcome to the *ferret* showcase! | |
| You will find two main functionalities. | |
| """ | |
| ) | |
| page = st.sidebar.radio("", list(PAGES.keys())) | |
| st.sidebar.markdown( | |
| """ | |
| In the single-*instance* page, you can evaluate our built-in explainers on your favourite model. | |
| Choosing *dataset* mode, you will evaluate explainers on state-of-the-art datasets from our Dataset API. | |
| """ | |
| ) | |
| PAGES[page].body() | |