|
import appStore.doc_processing as processing |
|
from utils.uploadAndExample import add_upload |
|
import streamlit as st |
|
|
|
|
|
|
|
|
|
|
|
st.set_page_config(page_title = 'Vulnerable Groups Identification', |
|
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;'> Vulnerable Groups Identification </h2>", unsafe_allow_html=True) |
|
st.write(' ') |
|
|
|
with st.expander("ℹ️ - About this app", expanded=False): |
|
st.write( |
|
""" |
|
The Vulnerable Groups Identification 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. |
|
""") |
|
st.write('**Definitions**') |
|
|
|
st.caption(""" |
|
- **Place holder**: Place holder \ |
|
Place holder \ |
|
Place holder \ |
|
Place holder \ |
|
Place holder |
|
""") |
|
|
|
st.write(""" |
|
What happens in the 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. |
|
|
|
The Step 2 and 3 are repated then similarly for Action and Policies & Plans. |
|
""") |
|
|
|
st.write("") |
|
|
|
|
|
|
|
if st.button("Analyze Document"): |
|
print("Analyse") |
|
|
|
|
