Update app.py

app.py

@@ -37,12 +37,13 @@ JSONOBJ = """{"items":{"item":[{"id": "0001","type": null,"is_good": false,"ppu"
 def fn(    text1,    text2,    single_checkbox,    checkboxes,    radio,    im4,  file,    df1,    df2,):
     searchTerm = text1
     searchTermSentence = text2
-    start_with_searchTermLOINC = datasetLOINC.filter(lambda example: example["Description"].startswith('Allergy'))[0]    #Allergy
-    start_with_searchTermSNOMED = datasetSNOMED.filter(lambda example: example["Description"].startswith('Hospital'))[0]    #Hospital
-    start_with_searchTermCQM = dataseteCQM.filter(lambda example: example["Description"].startswith('Bathing'))[0]    #Bathing
-    print(start_with_searchTermLOINC )
-    print(start_with_searchTermSNOMED )
-    print(start_with_searchTermCQM )
+    #my_dataset_dictionary['train'][0]
+    start_with_searchTermLOINC = datasetLOINC.filter(lambda example: example["Description"].startswith('Allergy'))    #Allergy
+    start_with_searchTermSNOMED = datasetSNOMED.filter(lambda example: example["Description"].startswith('Hospital'))    #Hospital
+    start_with_searchTermCQM = dataseteCQM.filter(lambda example: example["Description"].startswith('Bathing'))    #Bathing
+    print(start_with_searchTermLOINC['train'][0] )
+    print(start_with_searchTermSNOMED['train'][0] )
+    print(start_with_searchTermCQM['train'][0] )
     return (
         #(text1 if single_checkbox else text2)        + ", selected:"        + ", ".join(checkboxes),  # Text
         #(start_with_searchTermLOINC if single_checkbox else start_with_searchTermSNOMED)        + ", selected:"        + ", ".join(checkboxes),  # Text