wzkariampuzha commited on
Commit
fb31138
1 Parent(s): fd230ef

Update app.py

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Files changed (1) hide show
  1. app.py +2 -4
app.py CHANGED
@@ -105,13 +105,11 @@ with st.spinner('Loading Epidemiology Models and Dependencies...'):
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  classify_model_vars, NER_pipeline, entity_classes, GARD_dict, max_length = load_models_experimental()
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  loaded = 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.")
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  loaded.empty()
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- st.markdown("Examples of rare diseases include [**Fellman syndrome**](https://rarediseases.info.nih.gov/diseases/1/gracile-syndrome), [**Classic Homocystinuria**](https://rarediseases.info.nih.gov/diseases/6667/classic-homocystinuria), [**7383**](https://rarediseases.info.nih.gov/diseases/7383/phenylketonuria), and [**GARD:0009941**](https://rarediseases.info.nih.gov/diseases/9941/fshmd1a).")
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-
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- st.markdown("A full list of rare diseases tracked by GARD can be found [here](https://rarediseases.info.nih.gov/diseases/browse-by-first-letter).")
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  if disease_or_gard_id:
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  df, sankey_data = extract_abs.streamlit_extraction(disease_or_gard_id, max_results, filtering,
 
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  classify_model_vars, NER_pipeline, entity_classes, GARD_dict, max_length = load_models_experimental()
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  loaded = st.success('All Models and Dependencies Loaded!')
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+ disease_or_gard_id = st.text_input("Input a rare disease term or NIH GARD ID.")
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  loaded.empty()
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+ st.markdown("Examples of rare diseases include [**Fellman syndrome**](https://rarediseases.info.nih.gov/diseases/1/gracile-syndrome), [**Classic Homocystinuria**](https://rarediseases.info.nih.gov/diseases/6667/classic-homocystinuria), [**7383**](https://rarediseases.info.nih.gov/diseases/7383/phenylketonuria), and [**GARD:0009941**](https://rarediseases.info.nih.gov/diseases/9941/fshmd1a). A full list of rare diseases tracked by the NIH Genetic and Rare Diseases Information Center (GARD) can be found [here](https://rarediseases.info.nih.gov/diseases/browse-by-first-letter).")
 
 
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  if disease_or_gard_id:
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  df, sankey_data = extract_abs.streamlit_extraction(disease_or_gard_id, max_results, filtering,