Update app.py

app.py

@@ -69,17 +69,20 @@ with st.spinner('Loading Epidemiology Models and Dependencies...'):
     #nlpSci = spacy.load("en_ner_bc5cdr_md")
     #nlpSci2 = spacy.load('en_ner_bionlp13cg_md')
     #classify_model_vars = (nlp, nlpSci, nlpSci2, classify_model, classify_tokenizer)
-st.success('All Models and Dependencies Loaded!')
-
+loaded = st.success('All Models and Dependencies Loaded!')
 disease_or_gard_id = st.text_input("Input a rare disease term or GARD ID.")
-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), [**phenylketonuria**](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 GARD can be found [here](https://rarediseases.info.nih.gov/diseases/browse-by-first-letter).")
+loaded.empty()
+
+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), [**phenylketonuria**](https://rarediseases.info.nih.gov/diseases/7383/phenylketonuria), and [GARD:0009941](https://rarediseases.info.nih.gov/diseases/9941/fshmd1a).")
+
+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).")
 
 if disease_or_gard_id:
   df = extract_abs.streamlit_extraction(disease_or_gard_id, max_results, filtering,
                                         NER_pipeline, entity_classes, 
                                         extract_diseases,GARD_dict, max_length, 
                                         classify_model_vars)
-  st.dataframe(df)
+  st.dataframe(df, height=100))
   csv = convert_df(df)
   st.download_button(
      label="Download epidemiology results for "+disease_or_gard_id+" as CSV",