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847adc5
Update app.py
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app.py
CHANGED
@@ -11,6 +11,14 @@ import streamlit as st
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st.title("Epidemiology Extraction Pipeline for Rare Diseases")
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st.subheader("National Center for Advancing Translational Sciences (NIH/NCATS)")
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#max_results is Maximum number of PubMed ID's to retrieve BEFORE filtering
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max_results = st.sidebar.number_input("Maximum number of articles to find in PubMed", min_value=1, max_value=None, value=50)
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@@ -26,9 +34,9 @@ with st.spinner('Loading Epidemiology Models and Dependencies...'):
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GARD_dict, max_length = extract_abs.load_GARD_diseases()
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st.success('All Models and Dependencies Loaded!')
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if
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df = extract_abs.search_term_extraction(disease_or_gard_id, max_results, filtering,
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NER_pipeline, entity_classes,
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extract_diseases,GARD_dict, max_length,
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st.title("Epidemiology Extraction Pipeline for Rare Diseases")
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st.subheader("National Center for Advancing Translational Sciences (NIH/NCATS)")
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#### CHANGE SIDEBAR WIDTH ###
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st.markdown(f'''
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<style>
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section[data-testid="stSidebar"] .css-ng1t4o {{width: 10rem;}}
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section[data-testid="stSidebar"] .css-1d391kg {{width: 10rem;}}
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</style>
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''',unsafe_allow_html=True)
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#max_results is Maximum number of PubMed ID's to retrieve BEFORE filtering
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max_results = st.sidebar.number_input("Maximum number of articles to find in PubMed", min_value=1, max_value=None, value=50)
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GARD_dict, max_length = extract_abs.load_GARD_diseases()
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st.success('All Models and Dependencies Loaded!')
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disease_or_gard_id = st.text_input("Input a rare disease term or GARD ID.", value="Fellman syndrome")
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if disease_or_gard_id:
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df = extract_abs.search_term_extraction(disease_or_gard_id, max_results, filtering,
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NER_pipeline, entity_classes,
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extract_diseases,GARD_dict, max_length,
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