Update app.py

app.py

@@ -40,10 +40,12 @@ def fn(    text1,    text2,    single_checkbox,    checkboxes,    radio,    im4,
     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 )
     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
+        #(start_with_searchTermLOINC if single_checkbox else start_with_searchTermSNOMED)        + ", selected:"        + ", ".join(checkboxes),  # Text
 #        {"positive": num / (num + slider1 + slider2),"negative": slider1 / (num + slider1 + slider2),"neutral": slider2 / (num + slider1 + slider2),},  # Label
 #        (audio1[0], np.flipud(audio1[1])) if audio1 is not None  else os.path.join(os.path.dirname(__file__), "files/cantina.wav"),  # Audio
 #        np.flipud(im1) if im1 is not None  else os.path.join(os.path.dirname(__file__), "files/cheetah1.jpg"),  # Image