Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
import streamlit as st | |
import pandas as pd | |
def show_single_table(result_df): | |
if len(result_df) == 0: | |
st.write("No resuolts found!") | |
else: | |
result_df = result_df.reset_index(drop=True) | |
# Transformations | |
result_df["crs_3_code_list"] = result_df['crs_3_code'].str.split(";").apply(lambda x: x[:-1] if x else []) | |
result_df["crs_5_code_list"] = result_df['crs_5_code'].str.split(";").apply(lambda x: x[:-1] if x else []) | |
result_df["sdg_list"] = result_df['sgd_pred_code'].apply(lambda x: [x] if pd.notna(x) else []) | |
result_df["flag"] = result_df['country'].apply(lambda x: f"https://flagicons.lipis.dev/flags/4x3/{x[:2].lower()}.svg" if pd.notna(x) else "https://flagicons.lipis.dev/flags/4x3/xx.svg") | |
st.dataframe( | |
result_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]], | |
use_container_width = True, | |
height = 35 + 35 * len(result_df), | |
column_config={ | |
"similarity": st.column_config.TextColumn( | |
"Similarity", | |
help="similarity to selected project", | |
disabled=True, | |
width="small" | |
), | |
"iati_id": st.column_config.TextColumn( | |
"IATI ID", | |
help="IATI Project ID", | |
disabled=True, | |
width="small" | |
), | |
"orga_abbreviation": st.column_config.TextColumn( | |
"Organization", | |
help="If description not in English, description in other language provided", | |
disabled=True, | |
width="small" | |
), | |
"client": st.column_config.TextColumn( | |
"Client", | |
help="Client organization of customer", | |
disabled=True, | |
width="small" | |
), | |
"title_main": st.column_config.TextColumn( | |
"Title", | |
help="If title not in English, title in other language provided", | |
disabled=True, | |
width="large" | |
), | |
"description_main": st.column_config.TextColumn( | |
"Description", | |
help="If description not in English, description in other language provided", | |
disabled=True, | |
width="large" | |
), | |
"country": st.column_config.TextColumn( | |
"Country", | |
help="Country of project", | |
disabled=True, | |
width="small" | |
), | |
"flag": st.column_config.ImageColumn( | |
"Flag", | |
help="country flag", | |
width="small" | |
), | |
"sdg_list": st.column_config.ListColumn( | |
"SDG Prediction", | |
help="Prediction of SDG's", | |
width="small" | |
), | |
"crs_3_code_list": st.column_config.ListColumn( | |
"CRS 3", | |
help="CRS 3 code given by organization", | |
width="small" | |
), | |
"crs_5_code_list": st.column_config.ListColumn( | |
"CRS 5", | |
help="CRS 5 code given by organization", | |
width="small" | |
), | |
}, | |
hide_index=True, | |
) | |