ppsingh commited on
Commit
e603c97
1 Parent(s): cd13585

Update app.py

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Files changed (1) hide show
  1. app.py +21 -18
app.py CHANGED
@@ -72,24 +72,27 @@ with st.expander("ℹ️ - About this app", expanded=False):
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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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- image = Image.open('docStore/img/flow.jpg')
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- st.image(image)
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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 fed to **Target 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 target \
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- related information are then fed to multiple classifier to enrich the
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- Information Extraction.
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-
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- The Step 2 and 3 are repated then similarly for Action and Policies & Plans.
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- """)
 
 
 
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  st.write("")
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  apps = [processing.app, target_extraction.app, netzero.app, ghg.app,
 
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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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+ c1, c2, c3 = st.columns([10,1,10])
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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 fed to **Target 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 target \
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+ related information are then fed to multiple classifier to enrich the
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+ Information Extraction.
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+
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+ The Step 2 and 3 are repated then similarly for Action and Policies & Plans.
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+ """)
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  st.write("")
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  apps = [processing.app, target_extraction.app, netzero.app, ghg.app,