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| """Show random samples. Simple method, but it often turns up interesting things.""" | |
| import pandas as pd | |
| import streamlit as st | |
| from src.subpages.page import Context, Page | |
| from src.utils import htmlify_labeled_example | |
| class RandomSamplesPage(Page): | |
| name = "Random Samples" | |
| icon = "shuffle" | |
| def get_widget_defaults(self): | |
| return { | |
| "random_sample_size_min": 128, | |
| } | |
| def render(self, context: Context): | |
| st.title("π² Random Samples") | |
| with st.expander("π‘", expanded=True): | |
| st.write( | |
| "Show random samples. Simple method, but it often turns up interesting things." | |
| ) | |
| random_sample_size = st.number_input( | |
| "Random sample size:", | |
| value=min(st.session_state.random_sample_size_min, context.split_sample_size), | |
| step=16, | |
| key="random_sample_size", | |
| ) | |
| if st.button("π² Resample"): | |
| st.experimental_rerun() | |
| random_indices = context.df.sample(int(random_sample_size)).index | |
| samples = context.df_tokens_merged.loc[random_indices] | |
| for i, idx in enumerate(random_indices): | |
| sample = samples.loc[idx] | |
| if isinstance(sample, pd.Series): | |
| continue | |
| col1, _, col2 = st.columns([0.08, 0.025, 0.8]) | |
| counter = f"<span title='#sample | index' style='display: block; background-color: black; opacity: 1; color: wh^; padding: 0 5px'>[{i+1} | {idx}]</span>" | |
| loss = f"<span title='total loss' style='display: block; background-color: yellow; color: gray; padding: 0 5px;'>πΏ {sample.losses.sum():.3f}</span>" | |
| col1.write(f"{counter}{loss}", unsafe_allow_html=True) | |
| col1.write("") | |
| col2.write(htmlify_labeled_example(sample), unsafe_allow_html=True) | |