Update app.py

app.py

@@ -26,6 +26,12 @@ import gradio as gr
 CHOICES = ["SNOMED", "LOINC", "CQM"]
 JSONOBJ = """{"items":{"item":[{"id": "0001","type": null,"is_good": false,"ppu": 0.55,"batters":{"batter":[{ "id": "1001", "type": "Regular" },{ "id": "1002", "type": "Chocolate" },{ "id": "1003", "type": "Blueberry" },{ "id": "1004", "type": "Devil's Food" }]},"topping":[{ "id": "5001", "type": "None" },{ "id": "5002", "type": "Glazed" },{ "id": "5005", "type": "Sugar" },{ "id": "5007", "type": "Powdered Sugar" },{ "id": "5006", "type": "Chocolate with Sprinkles" },{ "id": "5003", "type": "Chocolate" },{ "id": "5004", "type": "Maple" }]}]}}"""
 
+def lowercase_title(example):
+    return {"title": example[title].lower()}
+
+# demonstrate map function of dataset
+JSONOBJ_MAP=datasetLOINC.map(lowercase_title)
+
 
 #def fn(    text1,    text2,    num,    slider1,    slider2,    single_checkbox,    checkboxes,    radio,    dropdown,    im1,    im2,    im3,    im4,
 #    video,    audio1,    audio2,    file,    df1,    df2,):
@@ -60,7 +66,10 @@ def fn(    text1,    text2,    single_checkbox,    checkboxes,    radio,    im4,
             (".", 0),
         ]   + [(f"test", x / 10) for x in range(-10, 10)],  # HighlightedText
               
-        json.loads(JSONOBJ),  # JSON
+
+        #json.loads(JSONOBJ),  # JSON
+        json.loads(JSONOBJ_MAP),  # JSONOBJ_MAP
+        
         "<button style='background-color: red'>Click Me: " + radio + "</button>",  # HTML
         os.path.join(os.path.dirname(__file__), "files/titanic.csv"),
         df1,  # Dataframe
@@ -136,6 +145,7 @@ demo = gr.Interface(
     cache_examples=False,
     description="Clinical Terminology Auto Mapper AI",
     article="Learn more at [Yggdrasil](https://github.com/AaronCWacker/Yggdrasil)",
+    live=True,
 )
 
 if __name__ == "__main__":