Ilyas KHIAT
new version
e3e0021
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",
["IA RSE",
#"Data Bordeaux métropole", "Data bziiit", "Documentation"
],
index=0
)
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=0
)
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("[email protected]")
if __name__ == "__main__":
main()