Update app.py

app.py

@@ -1,52 +1,51 @@
 import os
 import pandas as pd
 import gradio as gr
-
-
+# SNOMEDCT Download https://www.nlm.nih.gov/healthit/snomedct/us_edition.html
+# LOINC Download https://loinc.org/downloads/
+# 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..
 
 def MatchLOINC(name):
     import pandas as pd
     basedir = os.path.dirname(__file__)
-    data = pd.read_csv(f'LoincTableCore.csv')     # LOINC Download https://loinc.org/downloads/
+    data = pd.read_csv(f'LoincTableCore.csv')    
     swith=data.loc[data['COMPONENT'].str.contains(name, case=False)]
-    #swith = data[data['COMPONENT'].str.match(name)]
     return swith
     
 def MatchLOINCPanelsandForms(name):
     import pandas as pd
     basedir = os.path.dirname(__file__)
-    data = pd.read_csv(f'PanelsAndForms.csv')     # LOINC Download https://loinc.org/downloads/
-    swith = data[data['ParentName'].str.match(name)]
+    data = pd.read_csv(f'PanelsAndForms.csv')     
+    swith=data.loc[data['ParentName'].str.contains(name, case=False)]
     return swith
     
 def MatchSNOMED(name):
     import pandas as pd
     basedir = os.path.dirname(__file__)
-    data = pd.read_csv(f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   # SNOMEDCT Download https://www.nlm.nih.gov/healthit/snomedct/us_edition.html
+    data = pd.read_csv(f'sct2_TextDefinition_Full-en_US1000124_20220901.txt',sep='\t')   
+    #swith = data[data['term'].str.match(name)]
     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.TextArea(label="Output Match LOINC, max_lines=100", interactive=True, )
-    #output1 = gr.Dataframe(label="Dataframe"),
-    output2 = gr.Textbox(label="Output Match SNOMED")
-    output3 = gr.Textbox(label="Output Match LOINC Panels and Forms")
+    
+    output1 = gr.TextArea(label="Output Match LOINC", max_lines=100, interactive=True, )
+    output2 = gr.Textbox(label="Output Match LOINC Panels and Forms")
+    output3 = 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)
-    
-    button3 = gr.Button("Match LOINC Panels and Forms")
-    button3.click(fn=MatchLOINCPanelsandForms, inputs=name, outputs=output3)
-    
+    button2 = gr.Button("Match LOINC Panels and Forms")
+    button2.click(fn=MatchLOINCPanelsandForms, inputs=name, outputs=output2)
+        
+    button3 = gr.Button("Match SNOMED Clinical Terminology")
+    button3.click(fn=MatchSNOMED, inputs=name, outputs=output2)
+
     
 
 demo.launch(debug=True)