import appStore.target as target_extraction
import appStore.netzero as netzero
import appStore.sector as sector
import appStore.adapmit as adapmit
import appStore.ghg as ghg
import appStore.doc_processing as processing
from utils.uploadAndExample import add_upload
import streamlit as st

st.set_page_config(page_title = 'Climate Policy Intelligence', 
                   initial_sidebar_state='expanded', layout="wide") 

with st.sidebar:
    # upload and example doc
    choice = st.sidebar.radio(label = 'Select the Document',
                            help = 'You can upload the document \
                            or else you can try a example document', 
                            options = ('Upload Document', 'Try Example'), 
                            horizontal = True)
    add_upload(choice) 

with st.container():
        st.markdown("<h2 style='text-align: center; color: black;'> Climate Policy Intelligence App </h2>", unsafe_allow_html=True)
        st.write(' ')

# with st.expander("ℹ️ - About this app", expanded=False):
#     st.write(
#         """
#         Climate Policy Understanding App is an open-source\
#         digital tool which aims to assist policy analysts and \
#         other users in extracting and filtering relevant \
#         information from public documents.

#         What Happens in background?

#         - Step 1: Once the document is provided to app, it undergoes *Pre-processing*.\
#         In this step the document is broken into smaller paragraphs \
#         (based on word/sentence count).
#         - Step 2: The paragraphs are fed to **Target Classifier** which detects if
#         the paragraph contains any *Target* related information or not.
#         - Step 3: The paragraphs which are detected containing some target \
#         related information are then fed to multiple classifier to enrich the 
#         Information Extraction.

#         Classifiers
#         - Netzero: 
               
#         """)
#     st.write("")
apps = [processing.app, target_extraction.app, netzero.app, ghg.app,
        sector.app, adapmit.app]
multiplier_val =100/len(apps)
if st.button("Get the work done"):
    prg = st.progress(0.0)
    for i,func in enumerate(apps):
        func()
        prg.progress((i+1)*multiplier_val)

    if 'key1' in st.session_state:
        # target_extraction.target_display()
        st.write(st.session_state.key1)