Update app.py

app.py

@@ -155,7 +155,7 @@ if query:
                   '+AND+english%5Bla%5D+AND+hasabstract+AND+1990:2022%5Bdp%5D+AND+' + c for c in short_table.index]
             df['href2'] = [f'https://en.wikipedia.org/wiki/' + c for c in short_table.index]
 
-            df['database'] = database_name
+            df.loc[:,'database'] = database_name
 
 
             # print(sizes)
@@ -188,7 +188,7 @@ if query:
                            mime='text/csv')
         except:
             st.warning(
-            f"This selection exceeds the number of similar words related to {query} within the {database_name} corpus")
+            f"This selection exceeds the number of similar words related to {query} within the {database_name} corpus, please choose a lower number")
 
     st.markdown("---")
     # st.write(short_table)
@@ -196,10 +196,10 @@ if query:
 
     # print()
     # print("Human genes similar to " + str(query))
-    df1 = table
+    df1 = table.copy()
     df2 = pd.read_csv('Human_Genes.csv')
     m = df1.Word.isin(df2.symbol)
-    df1 = df1[m]
+    df1 = df1[m].loc[:,:]
     df1.rename(columns={'Word': 'Human Gene'}, inplace=True)
     df1["Human Gene"] = df1["Human Gene"].str.upper()
     # print(df1.head(50))
@@ -224,7 +224,7 @@ if query:
             f"<span style='color:red; font-style: italic;'>{query}:</span> Click on the squares to expand and the Pubmed and NCBI links for more gene information</span></p></b>",
             unsafe_allow_html=True)
 
-        df10 = df1.head(value_gene)
+        df10 = df1.head(value_gene).copy()
         df10.index = (1 / df10.index)*10000
         sizes = df10.index.tolist()
         df10.set_index('Human Gene', inplace=True)
@@ -250,8 +250,8 @@ if query:
             df10['href2'] = [f'https://www.ncbi.nlm.nih.gov/gene/?term=' + c for c in df10['text']]
 
             df10['name'] = [c for c in result['Approved name']]
-
-            df10['database'] = database_name
+            assert isinstance(df10, object)
+            df10.loc[:,'database'] = database_name
 
             # print(df['name'])
 
@@ -288,7 +288,7 @@ if query:
 
         except:
             st.warning(
-            f"This selection exceeds the number of similar genes related to {query} within the {database_name} corpus")
+            f"This selection exceeds the number of similar genes related to {query} within the {database_name} corpus, please choose a lower number")
     st.markdown("---")
 
     # st.write(short_table)
@@ -296,7 +296,7 @@ if query:
 
     # print()
     # print("Human genes similar to " + str(query))
-    df1 = table
+    df1 = table.copy()
     df2 = pd.read_csv('protein.csv')
     m = df1.Word.isin(df2.protein)
     df1 = df1[m]
@@ -328,8 +328,7 @@ if query:
             f"<span style='color:red; font-style: italic;'>{query}:</span> Click on the squares to expand and the Pubmed and Wikipedia links for more protein information</span></p></b>",
             unsafe_allow_html=True)
 
-        df11 = df1.head(value_protein)
-        print(df11)
+        df11 = df1.head(value_protein).copy()
 
         df11.index = (1 / df11.index) * 10000
         sizes = df11.index.tolist()
@@ -353,7 +352,7 @@ if query:
             df11['href'] = [f'https://pubmed.ncbi.nlm.nih.gov/?term={database_name}%5Bmh%5D+NOT+review%5Bpt%5D' \
                        '+AND+english%5Bla%5D+AND+hasabstract+AND+1990:2022%5Bdp%5D+AND+' + c for c in df11['text']]
             df11['href2'] = [f'https://en.wikipedia.org/wiki/' + c for c in df11['text']]
-
+            assert isinstance(df11, object)
             df11['database'] = database_name
 
             # df11['name'] = [c for c in result['Approved name']]
@@ -387,7 +386,7 @@ if query:
 
 
         else:
-            st.warning(f"This selection exceeds the number of similar proteins related to {query} within the {database_name} corpus")
+            st.warning(f"This selection exceeds the number of similar proteins related to {query} within the {database_name} corpus, please choose a lower number")
     st.markdown("---")