Update app.py

app.py

@@ -6,6 +6,7 @@ datasetLOINC = load_dataset("awacke1/LOINC-CodeSet-Value-Description.csv")
 datasetSNOMED = load_dataset("awacke1/SNOMED-CT-Code-Value-Semantic-Set.csv")
 #eCQM:
 dataseteCQM = load_dataset("awacke1/eCQM-Code-Value-Semantic-Set.csv")
+
 print(datasetLOINC)
 print(datasetSNOMED)
 print(dataseteCQM)
@@ -64,13 +65,13 @@ def fn(    text1,    text2,    single_checkbox,    checkboxes,    radio,    im4,
     start_with_searchTermSNOMED = datasetSNOMED.filter(lambda example: example["Description"].startswith('Hospital'))    #Hospital
     start_with_searchTermCQM = dataseteCQM.filter(lambda example: example["Description"].startswith('Telephone'))    #Telephone
     
-    print(start_with_searchTermLOINC )
-    print(start_with_searchTermSNOMED )
-    print(start_with_searchTermCQM)
+    #print(start_with_searchTermLOINC )
+    #print(start_with_searchTermSNOMED )
+    #print(start_with_searchTermCQM)
     
-    print(start_with_searchTermLOINC["train"][0] )
-    print(start_with_searchTermSNOMED["train"][0] )
-    print(start_with_searchTermCQM["train"][0] )
+    #print(start_with_searchTermLOINC["train"][0] )
+    #print(start_with_searchTermSNOMED["train"][0] )
+    #print(start_with_searchTermCQM["train"][0] )
         
     returnMsg=profile_dataset()
     print(returnMsg)
@@ -80,9 +81,10 @@ def fn(    text1,    text2,    single_checkbox,    checkboxes,    radio,    im4,
         top1matchSNOMED = json.loads(start_with_searchTermSNOMED['train'][0])
         top1matchCQM = json.loads(start_with_searchTermCQM['train'][0])
     except:
-        print(start_with_searchTermLOINC)
-        print(start_with_searchTermSNOMED )
-        print(start_with_searchTermCQM )
+        print(start_with_searchTermLOINC[0])
+        print(start_with_searchTermSNOMED[0] )
+        print(start_with_searchTermCQM[0] )
+        
     print(returnMsg)
     print("Datasets Processed")