Update app.py

app.py

@@ -14,6 +14,7 @@ from transformers import AutoTokenizer
 tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
 dataset = datasetLOINC.map(lambda examples: tokenizer(examples["Description"]), batched=True)
 JSONOBJ2=dataset['train'][0]
+print(JSONOBJ2)
 
 sw = datasetLOINC.filter(lambda example: example["Description"].startswith("Allergy"))
 len(sw)
@@ -76,9 +77,9 @@ def fn(    text1,    text2,    num,    slider1,    slider2,    single_checkbox,
     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] )