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| #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.conditional as conditional | |
| #import appStore.indicator as indicator | |
| import appStore.doc_processing as processing | |
| from utils.uploadAndExample import add_upload | |
| from PIL import Image | |
| import streamlit as st | |
| ####################################### Dashboard ###################################################### | |
| # App | |
| st.set_page_config(page_title = 'Vulnerable Groups Identification', | |
| 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;'> 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 | |
| """) | |
| #c1, c2, c3 = st.columns([12,1,10]) | |
| #with c1: | |
| #image = Image.open('docStore/img/flow.jpg') | |
| #st.image(image) | |
| #with c3: | |
| #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("") | |
| apps = [processing.app, target_extraction.app, netzero.app, ghg.app, | |
| policyaction.app, conditional.app, sector.app, adapmit.app,indicator.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() | |
| # st.write(st.session_state.key1) | |
| #st.title("Identify references to vulnerable groups.") | |
| #st.write("""Vulnerable groups encompass various communities and individuals who are disproportionately affected by the impacts of climate change | |
| #due to their socioeconomic status, geographical location, or inherent characteristics. By incorporating the needs and perspectives of these groups | |
| #into national climate policies, governments can ensure equitable outcomes, promote social justice, and strive to build resilience within the most marginalized populations, | |
| #fostering a more sustainable and inclusive society as we navigate the challenges posed by climate change.This app allows you to identify whether a text contains any | |
| #references to vulnerable groups, for example when talking about policy documents.""") | |
| # Document upload | |
| #uploaded_file = st.file_uploader("Upload your file here") | |
| # Create text input box | |
| #input_text = st.text_area(label='Please enter your text here', value="This policy has been implemented to support women.") | |
| #st.write('Prediction:', model(input_text)) | |
| ######################################### Model ######################################################### | |
| # Load the model | |
| #model = SetFitModel.from_pretrained("leavoigt/vulnerable_groups") | |
| # Define the classes | |
| #id2label = { | |
| # 0: 'Agricultural communities', | |
| # 1: 'Children and Youth', | |
| # 2: 'Coastal communities', | |
| # 3: 'Drought-prone regions', | |
| # 4: 'Economically disadvantaged communities', | |
| # 5: 'Elderly population', | |
| # 6: 'Ethnic minorities and indigenous people', | |
| # 7: 'Informal sector workers', | |
| # 8: 'Migrants and Refugees', | |
| # 9: 'Other', | |
| # 10: 'People with Disabilities', | |
| # 11: 'Rural populations', | |
| # 12: 'Sexual minorities (LGBTQI+)', | |
| # 13: 'Urban populations', | |
| # 14: 'Women'} | |
| ### Process document to paragraphs | |
| # Source: https://blog.jcharistech.com/2021/01/21/how-to-save-uploaded-files-to-directory-in-streamlit-apps/ | |
| # Store uploaded file temporarily in directory to get file path (necessary for processing) | |
| # def save_uploadedfile(upl_file): | |
| # with open(os.path.join("tempDir",upl_file.name),"wb") as f: | |
| # f.write(upl_file.getbuffer()) | |
| # return st.success("Saved File:{} to tempDir".format(upl_file.name)) | |
| # if uploaded_file is not None: | |
| # # Save the file | |
| # file_details = {"FileName": uploaded_file.name, "FileType": uploaded_file.type} | |
| # save_uploadedfile(uploaded_file) | |
| # #Get the file path | |