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import glob, os, sys; |
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sys.path.append('../utils') |
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import streamlit as st |
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import ast |
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with open('ndcs/countryList.txt') as dfile: |
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countryList = dfile.read() |
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countryList = ast.literal_eval(countryList) |
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countrynames = list(countryList.keys()) |
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with open('ndcs/cca.txt', encoding='utf-8', errors='ignore') as dfile: |
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cca_sent = dfile.read() |
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cca_sent = ast.literal_eval(cca_sent) |
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with open('ndcs/ccm.txt', encoding='utf-8', errors='ignore') as dfile: |
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ccm_sent = dfile.read() |
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ccm_sent = ast.literal_eval(ccm_sent) |
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def app(): |
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with st.container(): |
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st.markdown("<h1 style='text-align: center; \ |
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color: black;'> Check NDC Coherence</h1>", |
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unsafe_allow_html=True) |
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st.write(' ') |
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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 *Check NDC Coherence* application provides easy evaluation of |
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coherence between a given policy document and a country’s (Intended)\ |
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Nationally Determined Contribution (INDCs/NDCs) using open-source \ |
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data from the German Institute of Development and Sustainability’s \ |
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(IDOS) [NDC Explorer](https://klimalog.idos-research.de/ndc/#NDCExplorer/worldMap?NewAndUpdatedNDC??income???catIncome).\ |
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""") |
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st.write("") |
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st.write(""" User can select a country context via the drop-down menu \ |
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on the left-hand side of the application. Subsequently, the user is \ |
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given the opportunity to manually upload another policy document \ |
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from the same national context or to select a pre-loaded example \ |
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document. Thereafter, the user can choose between two categories \ |
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to compare coherence between the documents: climate change adaptation \ |
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and climate change mitigation. Based on the selected information, \ |
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the application identifies relevant paragraphs in the uploaded \ |
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document and assigns them to the respective indicator from the NDC \ |
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Explorer. Currently, the NDC Explorer has 20 indicators under \ |
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climate change mitigation (e.g., fossil fuel production, REDD+) and \ |
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22 indicators under climate change adaptation (e.g., sea level rise,\ |
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investment needs). The assignment of the paragraph to a corresponding\ |
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indicator is based on vector similarities in which only paragraphs \ |
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with similarity above 0.55 to the indicators are considered. """) |
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option = st.sidebar.selectbox('Select Country', (countrynames)) |
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countryCode = countryList[option] |
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