add instructions

app.py

@@ -235,11 +235,11 @@ with gr.Blocks() as demo: #css="#gene_attn_accordion {text-align: center}" css="
 
                 with gr.Accordion(label=f'SHEPHERD\'s Ranking of Patient\'s Candidate Genes', open=True, elem_id='gene_accordion'):
                     #gr.Markdown(f'<center><h3>SHEPHERD\'s Ranking of Patient\'s Candidate Genes</h3></center>')
-                    gr.Markdown('The patient\'s causal gene (i.e. gene harboring a variant that explains the patient\'s symptoms) is colored in green.')
-                    gene_dataframe = gr.Dataframe(max_rows=5,  elem_id="gene_df", datatype = 'markdown', headers=['Candidate Genes', 'SHEPHERD Score' ], overflow_row_behaviour='paginate') # label='Candidate Genes', show_label=False,
+                    gr.Markdown('Below are SHEPHERD\'s ranking of either all Expert Curated candidate genes or the top 10 Variant Filtered candidate genes. The patient\'s causal gene (i.e. gene harboring a variant that explains the patient\'s symptoms) is colored in green.')
+                    gene_dataframe = gr.Dataframe(  elem_id="gene_df", datatype = 'markdown', headers=['Candidate Genes', 'SHEPHERD Score' ], overflow_row_behaviour='paginate') # label='Candidate Genes', show_label=False,
                 with gr.Accordion(label=f'SHEPHERD\'s Attention to Patient\'s Phenotypes', open=False, elem_id='gene_attn_accordion'):
                     #gr.Markdown(f'<center><h3>SHEPHERD\'s Attention to Patient\'s Phenotypes</h3></center>')
-                    gene_attn_dataframe = gr.Dataframe(max_rows=5,  elem_id="gene_attn_df", headers=['Phenotypes', 'Attention' ], overflow_row_behaviour='paginate') # label='Candidate Genes', show_label=False,
+                    gene_attn_dataframe = gr.Dataframe( elem_id="gene_attn_df", headers=['Phenotypes', 'Attention' ], overflow_row_behaviour='paginate') # label='Candidate Genes', show_label=False,
                 with gr.Accordion(label=f'Visualization of Patient\'s Neighborhood in the Knowledge Graph', open=False, elem_id='kg_neigh_accordion'):
                     #kg_neighborhood_image = gr.Image(elem_id='kg_neigh')#.style(height=200, width=200)
                     kg_neighborhood_image = gr.HTML(elem_id = 'kg_patient_neighborhood')
@@ -255,7 +255,7 @@ with gr.Blocks() as demo: #css="#gene_attn_accordion {text-align: center}" css="
                 patient_dataframe = gr.Dataframe(max_rows=10, datatype = 'markdown', show_label=False, elem_id="pat_df", headers=['Candidate Patient', 'Candidate Patient\'s Gene', 'Candidate Patient\'s Disease' ]) #'Candidate Patient\'s Phenotypes'
                 #patient_button = gr.Button("Go")
             with gr.Accordion(label='SHEPHERD\'s Attention to Patient\'s Phenotypes', open=False, elem_id='pt_attn_accordion'):
-                pt_attn_dataframe = gr.Dataframe(max_rows=5,  elem_id="pt_attn_df", headers=['Phenotypes', 'Attention' ], overflow_row_behaviour='paginate')
+                pt_attn_dataframe = gr.Dataframe( elem_id="pt_attn_df", headers=['Phenotypes', 'Attention' ], overflow_row_behaviour='paginate')
 
 
         with gr.TabItem("Disease Characterization"):
@@ -266,7 +266,7 @@ with gr.Blocks() as demo: #css="#gene_attn_accordion {text-align: center}" css="
             with gr.Accordion(label='Top 10 Most Similar Diseases according to SHEPHERD', open=True, elem_id='pt_accordion'): #
                 dx_dataframe = gr.Dataframe(max_rows=10, datatype = 'markdown', show_label=False, elem_id="dx_df",  headers=['Diseases'])
             with gr.Accordion(label='SHEPHERD\'s Attention to Patient\'s Phenotypes', open=False, elem_id='dx_attn_accordion'):
-                dx_attn_dataframe = gr.Dataframe(max_rows=5,  elem_id="dx_attn_df", headers=['Phenotypes', 'Attention' ], overflow_row_behaviour='paginate')
+                dx_attn_dataframe = gr.Dataframe(  elem_id="dx_attn_df", headers=['Phenotypes', 'Attention' ], overflow_row_behaviour='paginate')
 
             #dx_button = gr.Button("Go")