Update app.py

app.py

@@ -3,18 +3,6 @@ import pandas as pd
 from pathlib import Path
 import ast
 
-'''
-Causal Gene Discovery Model
-/home/ema30/zaklab/rare_disease_dx/checkpoints/aligner/04_30_22:13:29:55_lr_1e-05_val_simulated_pats.disease_split_val_sim_pats_kg_8.9.21_kg_losstype_gene_multisimilarity/all_udn_patients_kg_8.9.21_kgsolved_manual_baylor_nobgm_distractor_genes_5_candidates_mapped_only_genes
-
-Patients-Like-Me Model
-/home/ema30/zaklab/rare_disease_dx/checkpoints/patient_NCA/04_26_22:17:38:30_lr_5e-05_val_simulated_pats.disease_split_val_sim_pats_kg_8.9.21_kg_losstype_patient_patient_NCA/mygene2_all_sim_all_udn_patients_kg_8.9.21_kgsolved_with_phenotypes
-
-Disease Characterization Model
-/home/ema30/zaklab/rare_disease_dx/checkpoints/patient_NCA/05_13_22:08:00:32_lr_1e-05_val_simulated_pats.disease_split_val_sim_pats_kg_8.9.21_kg_losstype_pd_NCA/mygene2_all_sim_all_udn_patients_kg_8.9.21_kgsolved_with_phenotypes
-'''
-
-
 
 gene_scores_df = pd.read_csv('gene_discovery_scores.csv')
 exomiser_gene_scores_df = pd.read_csv('exomiser_gene_discovery_scores.csv')
@@ -25,7 +13,7 @@ dx_attn_df = pd.read_csv('dx_characterization_scores_attn.csv')
 gene_attn_df = pd.read_csv('gene_discovery_scores_attn.csv')
 exomiser_gene_attn_df = pd.read_csv('exomiser_gene_discovery_scores_attn.csv')
 
-diseases_map = {'UDN-P1': 'POLR3-releated leukodystrophy', 'UDN-P2': 'Novel Syndrome', 'UDN-P3':'Coffin-Lowry syndrome' , 
+diseases_map = {'UDN-P1': 'POLR3-releated leukodystrophy', 'UDN-P2': 'Novel PRKAR1B-Related Neurodevelopmental Disorder', 'UDN-P3':'Coffin-Lowry syndrome' , 
                 'UDN-P4': 'automsomal recessive spastic paraplegia type 76', 'UDN-P5': 'atypical presentation of familial cold autoinflammatory syndrome', 
                 'UDN-P6': '*GATAD2B*-associated syndrome', 'UDN-P7': 'AR limb-girdle muscular atrophy type 2D', 'UDN-P8': '*ATP5PO*-related Leigh syndrome', 'UDN-P9': 'Spondyloepimetaphyseal dysplasia, Isidor-Toutain type'}
 genes_map = {'UDN-P3': 'RPS6KA3', 'UDN-P4': 'CAPN1', 'UDN-P5': 'NLRP12, RAPGEFL1', 'UDN-P6': 'GATAD2B', 'UDN-P7': 'SGCA', 'UDN-P8': 'ATP5P0', 'UDN-P9': 'RPL13'}