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leavoigt commited on
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31b5a19
1 Parent(s): 378d2da

Update app.py

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Files changed (1) hide show
  1. app.py +111 -7
app.py CHANGED
@@ -1,14 +1,118 @@
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  import appStore.vulnerability_analysis as vulnerability_analysis
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- import appStore.info as info
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- from appStore.multiapp import MultiApp
 
 
 
 
 
 
 
 
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  import streamlit as st
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- st.set_page_config(page_title = 'Vulnerability Classifier',
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  initial_sidebar_state='expanded', layout="wide")
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- app = MultiApp()
 
 
 
 
 
 
 
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- app.add_app("About","house", info.app)
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- app.add_app("Vulnerability Analysis","gear", vulnerability_analysis.app)
 
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- app.run()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import appStore.vulnerability_analysis as vulnerability_analysis
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+ #import appStore.netzero as netzero
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+ #import appStore.sector as sector
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+ #import appStore.adapmit as adapmit
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+ #import appStore.ghg as ghg
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+ #import appStore.policyaction as policyaction
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+ #import appStore.conditional as conditional
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+ #import appStore.indicator as indicator
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+ import appStore.doc_processing as processing
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+ from utils.uploadAndExample import add_upload
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+ #rom PIL import Image
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  import streamlit as st
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+ st.set_page_config(page_title = 'Vulnerability Analysis',
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  initial_sidebar_state='expanded', layout="wide")
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+ with st.sidebar:
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+ # upload and example doc
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+ choice = st.sidebar.radio(label = 'Select the Document',
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+ help = 'You can upload the document \
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+ or else you can try a example document',
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+ options = ('Upload Document', 'Try Example'),
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+ horizontal = True)
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+ add_upload(choice)
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+ with st.container():
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+ st.markdown("<h2 style='text-align: center; color: black;'> Vulnerability Analysis </h2>", unsafe_allow_html=True)
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+ st.write(' ')
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+ with st.expander("ℹ️ - About this app", expanded=False):
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+ st.write(
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+ """
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+ The Vulnerability Analysis App is an open-source\
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+ digital tool which aims to assist policy analysts and \
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+ other users in extracting and filtering relevant \
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+ information related to different vulnerable groups from public documents.
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+ """)
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+ # st.write('**Definitions**')
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+
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+ # st.caption("""
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+ # - **Target**: Targets are an intention to achieve a specific result, \
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+ # for example, to reduce GHG emissions to a specific level \
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+ # (a GHG target) or increase energy efficiency or renewable \
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+ # energy to a specific level (a non-GHG target), typically by \
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+ # a certain date.
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+ # - **Economy-wide Target**: Certain Target are applicable \
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+ # not at specific Sector level but are applicable at economic \
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+ # wide scale.
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+ # - **Netzero**: Identifies if its Netzero Target or not.
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+ # - 'NET-ZERO': target_labels = ['T_Netzero','T_Netzero_C']
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+ # - 'Non Netzero Target': target_labels_neg = ['T_Economy_C',
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+ # 'T_Economy_Unc','T_Adaptation_C','T_Adaptation_Unc','T_Transport_C',
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+ # 'T_Transport_O_C','T_Transport_O_Unc','T_Transport_Unc']
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+ # - 'Others': Other Targets beside covered above
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+ # - **GHG Target**: GHG targets refer to contributions framed as targeted \
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+ # outcomes in GHG terms.
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+ # - 'GHG': target_labels_ghg_yes = ['T_Transport_Unc','T_Transport_C']
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+ # - 'NON GHG TRANSPORT TARGET': target_labels_ghg_no = ['T_Adaptation_Unc',\
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+ # 'T_Adaptation_C', 'T_Transport_O_Unc', 'T_Transport_O_C']
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+ # - 'OTHERS': Other Targets beside covered above.
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+ # - **Conditionality**: An “unconditional contribution” is what countries \
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+ # could implement without any conditions and based on their own \
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+ # resources and capabilities. A “conditional contribution” is one \
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+ # that countries would undertake if international means of support \
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+ # are provided, or other conditions are met.
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+ # - **Action**: Actions are an intention to implement specific means of \
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+ # achieving GHG reductions, usually in forms of concrete projects.
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+ # - **Policies and Plans**: Policies are domestic planning documents \
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+ # such as policies, regulations or guidlines, and Plans are broader \
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+ # than specific policies or actions, such as a general intention \
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+ # to ‘improve efficiency’, ‘develop renewable energy’, etc. \
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+ # The terms come from the World Bank's NDC platform and WRI's publication.
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+ # """)
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+
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+ #c1, c2, c3 = st.columns([12,1,10])
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+ #with c1:
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+ # image = Image.open('docStore/img/flow.jpg')
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+ # st.image(image)
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+ #with c3:
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+ st.write("""
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+ What Happens in background?
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+
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+
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+
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+ - Step 1: Once the document is provided to app, it undergoes *Pre-processing*.\
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+ In this step the document is broken into smaller paragraphs \
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+ (based on word/sentence count).
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+ - Step 2: The paragraphs are then fed to the **Vulnerability Classifier** which detects if
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+ the paragraph contains any *Target* related information or not.
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+ - Step 3: The paragraphs which are detected containing some reference \
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+ to a vulnerable group are then fed to multiple classifier to enrich the
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+ Information Extraction.
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+ """)
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+
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+ st.write("")
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+ apps = [vulnerability_analysis.app]
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+
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+ multiplier_val =1/len(apps)
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+ if st.button("Analyze Document"):
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+ prg = st.progress(0.0)
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+ for i,func in enumerate(apps):
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+ func()
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+ prg.progress((i+1)*multiplier_val)
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+
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+
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+ if 'key1' in st.session_state:
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+ with st.sidebar:
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+ topic = st.radio(
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+ "Which category you want to explore?",
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+ ('Vulnerability')
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+
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+ if topic == 'Vulnerability':
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+ target_extraction.vulnerability_display()
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+ # elif topic == 'Action':
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+ # policyaction.action_display()
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+ # else:
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+ # policyaction.policy_display()
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+ st.write(st.session_state.key1)