|
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.policyaction as policyaction |
|
import appStore.indicator as indicator |
|
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: |
|
|
|
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 Understanding 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. |
|
|
|
Classifers: |
|
- **Netzero**: Detects if any Netzero commitment is present in paragraph or not. |
|
- **GHG**: Detects if any GHG related information present in paragraph or not. |
|
- **Sector**: Detects which sectors are spoken/discussed about in paragraph. |
|
- **Adaptation-Mitigation**: Detects if the paragraph is related to Adaptation and/or Mitigation. |
|
|
|
|
|
""") |
|
st.write("") |
|
apps = [processing.app, target_extraction.app, netzero.app, ghg.app, |
|
sector.app, policyaction.app, indicator.app, adapmit.app] |
|
multiplier_val =1/len(apps) |
|
if st.button("Analyze Document"): |
|
prg = st.progress(0.0) |
|
for i,func in enumerate(apps): |
|
func() |
|
prg.progress((i+1)*multiplier_val) |
|
|
|
|
|
if 'key1' in st.session_state: |
|
with st.sidebar: |
|
topic = st.radio( |
|
"Which category you want to explore?", |
|
('Target', 'Action', 'Policies/Plans')) |
|
|
|
if topic == 'Target': |
|
target_extraction.target_display() |
|
elif topic == 'Action': |
|
policyaction.action_display() |
|
else: |
|
policyaction.policy_display() |
|
|
|
|
