Update app.py

app.py

@@ -1,17 +1,26 @@
 import pandas as pd
 import plotly.express as px
 import streamlit as st
+import jsonlines
 
 # Create a DataFrame with CPT codes, procedures, and expected costs
 data = {
-    'CPT Code': ['99201', '99232', '99233', '99234', '99235'],
-    'Procedure': ['Office/Outpatient Visit', 'Inpatient Consultation', 'Initial Hospital Care', 'Subsequent Hospital Care', 'Critical Care Services'],
-    'Expected Cost': [100, 200, 150, 250, 300]
+    'Code Type': ['CPT', 'SNOMED', 'RXNORM', 'DEA', 'LOINC', 'ORI', 'ORU', 'CCD'],
+    'Code Value': ['99201', 'A-12345', 'R-12345', 'D-12345', 'L-12345', 'O-12345', 'U-12345', 'C-12345'],
+    'Code Description': ['Office/Outpatient Visit', 'Inpatient Consultation', 'Initial Hospital Care', 'Subsequent Hospital Care', 'Critical Care Services', 'Procedure 6', 'Procedure 7', 'Procedure 8'],
+    'Expected Cost': [100, 200, 150, 250, 300, 350, 400, 450]
 }
 df = pd.DataFrame(data)
 
-# Create a histogram with Plotly Express
-fig = px.histogram(df, x='Procedure', y='Expected Cost')
+# Create a heatmap with Plotly Express
+fig = px.imshow(df.corr(), color_continuous_scale='RdBu_r')
 
-# Display the histogram in Streamlit
+# Display the heatmap in Streamlit
 st.plotly_chart(fig)
+
+# Save DataFrame to JSONL file
+with jsonlines.open('output.jsonl', mode='w') as writer:
+    writer.write(df.to_dict(orient='records'))
+
+# Display a link to download the JSONL file
+st.markdown('[Download data as JSONL](output.jsonl)')