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