danielsteinigen commited on
Commit
06fe304
1 Parent(s): 6b6a1c9

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -157,21 +157,21 @@ st.write('<style>div.row-widget.stRadio > div{flex-direction:row;justify-content
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  ############################################################
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  ## Page formating
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  ############################################################
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- col3, col4 = st.columns([2.4,1.6])
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  st.write('\n')
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  st.write('\n')
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  with col3:
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  st.subheader("Extraction of Key Figures from Tax Legal Texts")
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- st.write("Demonstrator Application for Paper 'Semantic Extraction of Key Figures and Their Properties From Tax Legal Texts using Neural Models' presented at the sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023)")
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  st.write("The paper can be found here: [Paper](https://ceur-ws.org/Vol-3441/paper7.pdf)")
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  st.write('\n')
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- st.write('This demmosntrator processes German tax laws as input and outputs the extracted key figures with their properties and relations, based on the presented semantic model.')
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  with col4:
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  st.caption("Semantic Model")
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  image = Image.open('util/ontology.png')
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- st.image(image, width=350)
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  text_option = st.radio("Select Example", ["Insert your paragraph", "EStG § 66 Kindergeld", "EStG § 9 Werbungskosten"])
 
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  ############################################################
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  ## Page formating
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  ############################################################
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+ col3, col4 = st.columns([2,2])
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  st.write('\n')
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  st.write('\n')
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  with col3:
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  st.subheader("Extraction of Key Figures from Tax Legal Texts")
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+ st.write("Demonstrator Application for the Paper 'Semantic Extraction of Key Figures and Their Properties From Tax Legal Texts using Neural Models' presented at the sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023).")
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  st.write("The paper can be found here: [Paper](https://ceur-ws.org/Vol-3441/paper7.pdf)")
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  st.write('\n')
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+ st.write('This demonstrator processes German tax laws as input and outputs the extracted key figures with their properties and relations, based on the presented semantic model.')
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  with col4:
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  st.caption("Semantic Model")
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  image = Image.open('util/ontology.png')
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+ st.image(image, width=1000)
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  text_option = st.radio("Select Example", ["Insert your paragraph", "EStG § 66 Kindergeld", "EStG § 9 Werbungskosten"])