modules/result_table.py

import streamlit as st

def show_table(p1_df, p2_df):

    col1, col2 = st.columns([1, 1])
    with col1:
        st.write("------------------")
        
        st.dataframe(
            p1_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code"]],
            use_container_width = True,
            height = 35 + 35 * len(p1_df),
            column_config={
                "similarity": st.column_config.TextColumn(
                    "Similarity",
                    help="simialrity",
                    disabled=True
                ),
                "iati_id": st.column_config.TextColumn(
                    "IATI ID",
                    help="IATI Project ID",
                    disabled=True
                ),
                "orga_abbreviation": st.column_config.TextColumn(
                    "Organization",
                    help="If description not in English, description in other language provided",
                    disabled=True
                ),
                "client": st.column_config.TextColumn(
                    "Client",
                    help="Client organization of customer",
                    disabled=True
                ),
                "title_main": st.column_config.TextColumn(
                    "Title",
                    help="If title not in English, title in other language provided",
                    disabled=True
                ),
                "description_main": st.column_config.TextColumn(
                    "Description",
                    help="If description not in English, description in other language provided",
                    disabled=True
                ),
                "country": st.column_config.TextColumn(
                    "Country",
                    help="Country of project",
                    disabled=True
                ),
                "sgd_pred_code": st.column_config.TextColumn(
                    "SDG Prediction",
                    help="Prediction of SDG's",
                    disabled=True
                ),
                "crs_3_code": st.column_config.TextColumn(
                    "CRS 3",
                    help="CRS 3 code given by organization",
                    disabled=True
                ),
                "crs_5_code": st.column_config.TextColumn(
                    "CRS 5",
                    help="CRS 5 code given by organization",
                    disabled=True
                ),
            },
            hide_index=True,
        )

    with col2:
        st.write("------------------")
        
        st.dataframe(
            p2_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code"]],
            use_container_width = True,
            height = 35 + 35 * len(p2_df),
            column_config={
                "similarity": st.column_config.TextColumn(
                    "Similarity",
                    help="simialrity",
                    disabled=True
                ),
                "iati_id": st.column_config.TextColumn(
                    "IATI ID",
                    help="IATI Project ID",
                    disabled=True
                ),
                "orga_abbreviation": st.column_config.TextColumn(
                    "Organization",
                    help="If description not in English, description in other language provided",
                    disabled=True
                ),
                "client": st.column_config.TextColumn(
                    "Client",
                    help="Client organization of customer",
                    disabled=True
                ),
                "title_main": st.column_config.TextColumn(
                    "Title",
                    help="If title not in English, title in other language provided",
                    disabled=True
                ),
                "description_main": st.column_config.TextColumn(
                    "Description",
                    help="If description not in English, description in other language provided",
                    disabled=True
                ),
                "country": st.column_config.TextColumn(
                    "Country",
                    help="Country of project",
                    disabled=True
                ),
                "sgd_pred_code": st.column_config.TextColumn(
                    "SDG Prediction",
                    help="Prediction of SDG's",
                    disabled=True
                ),
                "crs_3_code": st.column_config.TextColumn(
                    "CRS 3",
                    help="CRS 3 code given by organization",
                    disabled=True
                ),
                "crs_5_code": st.column_config.TextColumn(
                    "CRS 5",
                    help="CRS 5 code given by organization",
                    disabled=True
                ),
            },
            hide_index=True,
        )