Create app.py

app.py

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+import os
+import pandas as pd
+import gradio as gr
+
+
+
+def MatchLOINC(name):
+    import pandas as pd
+    basedir = os.path.dirname(__file__)
+    data = pd.read_csv(f'{basedir}/LoincTableCore.csv')     # LOINC Download https://loinc.org/downloads/
+    swith = data[data['COMPONENT'].str.match(name)]
+    return switch
+    
+def MatchSNOMED(name):
+    import pandas as pd
+    basedir = os.path.dirname(__file__)
+    data = pd.read_csv(f'{basedir}/sct2_Description_Full-en_US1000124_20220901.txt',sep='\t')   # SNOMEDCT Download https://www.nlm.nih.gov/healthit/snomedct/us_edition.html
+    swith = data[data['term'].str.match(name)]
+    return swith
+
+
+
+# ECQM for Value Set Measures and Quality Reporting: https://vsac.nlm.nih.gov/download/ecqm?rel=20220505&res=eh_only.unique_vs.20220505.txt
+# SNOMED Nurse Subset https://www.nlm.nih.gov/healthit/snomedct/index.html?_gl=1*36x5pi*_ga*MTI0ODMyNjkxOS4xNjY1NTY3Mjcz*_ga_P1FPTH9PL4*MTY2Nzk4OTI1My41LjEuMTY2Nzk4OTY5Ni4wLjAuMA..
+
+with gr.Blocks() as demo:
+    name = gr.Textbox(label="Name")
+    output1 = gr.Textbox(label="Output Match LOINC")
+    output2 = gr.Textbox(label="Output Match SNOMED")
+    button1 = gr.Button("Match LOINC Clinical Terminology")
+    button1.click(fn=MatchLOINC, inputs=name, outputs=output1)
+    button2 = gr.Button("Match SNOMED Clinical Terminology")
+    button2.click(fn=MatchSNOMED, inputs=name, outputs=output2)
+
+demo.launch(debug=True)