Update app.py

app.py

@@ -58,37 +58,37 @@ st.set_option('deprecation.showPyplotGlobalUse', False)
 cwd=os.getcwd()+'/'#+'data/'
 @st.cache_data
 def get_data():
-    if 'adata_annot' not in st.session_state or 'cell_type' not in st.session_state or 'broad_type' not in st.session_state:
-        adata_annot = sc.read_h5ad(cwd+'multiregion_brainaging_annotated.h5ad')
-        st.session_state['adata_annot'] = adata_annot
-        if 'genes_list' not in st.session_state:        
-            genes=adata_annot.var.index
-            #genes_list=sorted(genes.unique())
-            st.session_state['genes_list'] = sorted(genes.unique())
-        if 'cell_type' not in st.session_state:
-            #cell_type=diff_fdr[diff_fdr.type=='cell_type']['tissue']
-            #cell_type=sorted(cell_type.unique())
-            anno=adata_annot.obs.new_anno
-            #cell_type=sorted(anno.unique())
-            st.session_state['cell_type'] = sorted(anno.unique())
-        if 'broad_type' not in st.session_state:        
-            broad_celltype=adata_annot.obs.broad_celltype
-            #broad_type=sorted(broad_type.unique())
-            st.session_state['broad_type'] = sorted(broad_celltype.unique())
+    #if 'adata_annot' not in st.session_state or 'cell_type' not in st.session_state or 'broad_type' not in st.session_state:
+    adata_annot = sc.read_h5ad(cwd+'multiregion_brainaging_annotated.h5ad')
+    st.session_state['adata_annot'] = adata_annot
+    if 'genes_list' not in st.session_state:        
+        genes=adata_annot.var.index
+        #genes_list=sorted(genes.unique())
+        st.session_state['genes_list'] = sorted(genes.unique())
+    if 'cell_type' not in st.session_state:
+        #cell_type=diff_fdr[diff_fdr.type=='cell_type']['tissue']
+        #cell_type=sorted(cell_type.unique())
+        anno=adata_annot.obs.new_anno
+        #cell_type=sorted(anno.unique())
+        st.session_state['cell_type'] = sorted(anno.unique())
+    if 'broad_type' not in st.session_state:        
+        broad_celltype=adata_annot.obs.broad_celltype
+        #broad_type=sorted(broad_type.unique())
+        st.session_state['broad_type'] = sorted(broad_celltype.unique())
             
     #Also load Go Terms
-    if 'go_table' not in st.session_state:        
-        bp = pathway_analyses.read_pathways('pathway_databases/GO_Biological_Process_2021.txt')
+#    if 'go_table' not in st.session_state:        
+    bp = pathway_analyses.read_pathways('pathway_databases/GO_Biological_Process_2021.txt')
 
-        go_bp_paths = bp.set_index(0)
-        go_bp_paths.fillna("", inplace=True)
-        go_bp_paths_dict = go_bp_paths.to_dict(orient='index')
+    go_bp_paths = bp.set_index(0)
+    go_bp_paths.fillna("", inplace=True)
+    go_bp_paths_dict = go_bp_paths.to_dict(orient='index')
 
 
-        gene_set_by_path = {key: [val for val in value.values() if val != ""] for key, value in go_bp_paths_dict.items()}
-        gene_set_by_path = pd.DataFrame.from_dict(gene_set_by_path, orient='index').transpose()     
-        st.session_state['path_ways']=gene_set_by_path.columns
-        st.session_state['go_table']=gene_set_by_path
+    gene_set_by_path = {key: [val for val in value.values() if val != ""] for key, value in go_bp_paths_dict.items()}
+    gene_set_by_path = pd.DataFrame.from_dict(gene_set_by_path, orient='index').transpose()     
+    st.session_state['path_ways']=gene_set_by_path.columns
+    st.session_state['go_table']=gene_set_by_path
 #done load Data