import streamlit as st import pandas as pd def show_single_table(selected_project_index, projects_df, result_df): result_df['crs_3_code_list'] = result_df['crs_3_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) result_df['crs_5_code_list'] = result_df['crs_5_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) result_df['sdg_list'] = result_df['sgd_pred_code'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")) ) sel_p_row = projects_df.iloc[[selected_project_index]] sel_p_row['crs_3_code_list'] = sel_p_row['crs_3_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) sel_p_row['crs_5_code_list'] = sel_p_row['crs_5_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) sel_p_row['sdg_list'] = sel_p_row['sgd_pred_code'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")) ) st.subheader("Reference Project") st.dataframe( sel_p_row[["iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country_name", "country_flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]], use_container_width = True, height = 35 + 35 * len(sel_p_row), column_config={ "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_name": st.column_config.TextColumn( "Country", help="Country of project", disabled=True, width="small" ), "country_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="medium" ), "crs_5_code_list": st.column_config.ListColumn( "CRS 5", help="CRS 5 code given by organization", width="medium" ), }, hide_index=True, ) if len(result_df) == 0: st.write("No results found!") else: result_df = result_df.reset_index(drop=True) result_df['similarity'] = (result_df['similarity'] * 100).round(4) st.write("----------------------") st.subheader("Top 10 Similar Projects") st.dataframe( result_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country_name", "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.ProgressColumn( "Similarity", help="Similarity", format=" %f %%", min_value=0, max_value=100, ), #"similarity": st.column_config.TextColumn( # "Similarity", # help="Similarity", # 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_name": st.column_config.TextColumn( "Country", help="Country of project", disabled=True, width="small" ), "country_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="medium" ), "crs_5_code_list": st.column_config.ListColumn( "CRS 5", help="CRS 5 code given by organization", width="medium" ), }, hide_index=True, )