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| import sys | |
| import os | |
| import streamlit as st | |
| from organisations_engagees import display_organisations_engagees | |
| from localisation import display_map | |
| from statistiques import main as display_statistics | |
| from ActionsRSE import display_actions_rse | |
| from AnalyseActionsRSE import display_analyse_actions_rse | |
| from partiesprenantes import display_materiality_partiesprenantes | |
| from partie_prenante_carte import display_pp | |
| from codecarbon import EmissionsTracker | |
| # Import modifiédes fonctions liées aux scripts | |
| from projetRSE import display_rse_projects | |
| from labelRSE import display_rse_labels | |
| from entreprises_labellisees import display_labelled_companies | |
| from inspirezvous import * | |
| from collaborons import display_company_selection_for_materiality,display_materiality_matrix | |
| from documentations import display_documentation | |
| from RAG_PDF_WEB import rag_pdf_web | |
| from prompt import get_prompts_list,prompt_execution,execute_prompt | |
| from chat_with_pps import display_chat | |
| from high_chart import test_chart | |
| from chat_te import display_chat_te | |
| from empreinte_carbone import * | |
| from comparateur import * | |
| import base64 | |
| import pandas as pd | |
| # Function to read and encode an SVG file to Base64 | |
| def load_svg_as_base64(file_path): | |
| with open(file_path, "rb") as f: | |
| svg_data = f.read() | |
| return base64.b64encode(svg_data).decode() | |
| def main(): | |
| if "emission" not in st.session_state: | |
| tracker = EmissionsTracker() | |
| tracker.start() | |
| st.session_state["emission"] = tracker | |
| if "partial_emissions" not in st.session_state: | |
| st.session_state["partial_emissions"] = { | |
| "Scrapping": {"cc": 0, "el": 0}, #cc for codecarbon , el for ecologits | |
| "extraction_pp": {"cc": 0, "el": 0}, | |
| "cartographie": {"cc": 0, "el": 0}, | |
| "chatbot": {"cc": 0, "el": 0}, | |
| "download_rapport": {"cc": 0, "el": 0}, | |
| } | |
| st.sidebar.title("OPEN DATA & IA au service de la RSE") | |
| section_principale = st.sidebar.radio( | |
| "Choisissez votre section", | |
| ["Data Bordeaux métropole", "Data bziiit","IA RSE","Documentation"], | |
| index=2 | |
| ) | |
| if section_principale == "Data Bordeaux métropole": | |
| app_mode = st.sidebar.radio( | |
| "Choisissez votre sous-section", | |
| ["Localisations", "Organisations engagées", "Statistiques", "Actions RSE", "Analyse actions RSE"] | |
| ) | |
| if app_mode == "Localisations": | |
| display_map() | |
| elif app_mode == "Organisations engagées": | |
| display_organisations_engagees() | |
| elif app_mode == "Statistiques": | |
| display_statistics() | |
| elif app_mode == "Actions RSE": | |
| display_actions_rse() | |
| elif app_mode == "Analyse actions RSE": | |
| display_analyse_actions_rse() | |
| elif section_principale == "Data bziiit": | |
| ia_mode = st.sidebar.radio( | |
| "Choisissez votre sous-section", | |
| ["Labels RSE", "Entreprises labellisées", "Fiches entreprises"] | |
| ) | |
| if ia_mode == "Labels RSE": | |
| display_rse_labels() | |
| elif ia_mode == "Entreprises labellisées": | |
| display_labelled_companies() | |
| elif ia_mode == "Fiches entreprises": | |
| data, bziiit_data = fetch_data() | |
| selected_company = display_company_selection(data) | |
| display_company_info(data, bziiit_data, selected_company) | |
| elif section_principale == "IA RSE": | |
| ia_mode = st.sidebar.radio( | |
| "Choisissez votre sous-section", | |
| [ | |
| "Audit flash RSE de vos contenus", | |
| "Parties prenantes", | |
| "Chatbot Parties Prenantes", | |
| "Empreinte carbone détaillée", | |
| # "Prompts RSE - TE", | |
| # "Chatbot RSE - TE", | |
| ], | |
| index=1 | |
| ) | |
| if ia_mode == "Parties prenantes": | |
| # data, bziiit_data = fetch_data() | |
| # selected_company = display_company_selection_for_materiality(data) | |
| # if selected_company: | |
| # display_materiality_partiesprenantes(selected_company, data, bziiit_data) | |
| display_pp() | |
| # elif ia_mode == "Matrice de matérialité": | |
| # data, bziiit_data = fetch_data() | |
| # selected_company = display_company_selection_for_materiality(data) | |
| # if selected_company: | |
| # display_materiality_matrix(selected_company, data, bziiit_data) | |
| elif ia_mode == "Chatbot Parties Prenantes": | |
| display_chat() | |
| elif ia_mode == "Audit flash RSE de vos contenus": | |
| rag_pdf_web() | |
| elif ia_mode == "Prompts RSE - TE": | |
| get_prompts_list() | |
| # elif ia_mode == "Générations de contenus RSE": | |
| # st.header("Exécutez un prompt") | |
| # selected_prompt = prompt_execution() | |
| # if selected_prompt: | |
| # execute_prompt(selected_prompt) | |
| elif ia_mode == "Chatbot RSE - TE": | |
| display_chat_te() | |
| elif ia_mode == "Empreinte carbone détaillée": | |
| display_carbon_footprint() | |
| elif section_principale == "Documentation": | |
| display_documentation() | |
| #carbon foot_print | |
| st.sidebar.markdown("---") | |
| display_cf_comparison(st.sidebar) | |
| # Instructions communes à toutes les sections | |
| st.sidebar.markdown("---") | |
| st.sidebar.markdown("Powered by **bziiit IA RSE**") | |
| st.sidebar.markdown("2024 : Open source en Licence MIT") | |
| st.sidebar.markdown("info@bziiit.com") | |
| if __name__ == "__main__": | |
| main() |