Update app.py

app.py

@@ -1,71 +1,28 @@
 import streamlit as st
 import plotly.graph_objects as go
 
-# List of top six prior auth conditions
-conditions = [
-    {
-        "diagnosis": "Diagnosis 1",
-        "observations": "Observations 1",
-        "CCD": "CCD 1",
-        "CCD_procedures": "CCD Procedures 1"
-    },
-    # Add more conditions here
-]
-
-# MSK hip and knee surgery list dictionary
-surgery_data = [
-    {
-        "CPTCode": "CPT Code 1",
-        "CPTDescription": "MSK Hip Surgery",
-        "ICD10Code": "ICD10 Code 1",
-        "ICD10Description": "ICD10 Description 1",
-        "Emoji": "💉",
-        "Description": "Hip Surgery",
-        "Cost": 10
-    },
-    {
-        "CPTCode": "CPT Code 2",
-        "CPTDescription": "MSK Knee Surgery",
-        "ICD10Code": "ICD10 Code 2",
-        "ICD10Description": "ICD10 Description 2",
-        "Emoji": "💊",
-        "Description": "Knee Surgery",
-        "Cost": 15
-    }
-]
-
-# Sort the surgery data by descending cost
-surgery_data.sort(key=lambda x: x["Cost"], reverse=True)
-
-# Function to create heatmap circle plot
-def create_heatmap_circle_plot(surgery_data):
-    fig = go.Figure()
-
-    for surgery in surgery_data:
-        fig.add_trace(go.Scatter(
-            x=[surgery["CPTCode"]],
-            y=[surgery["Cost"]],
-            mode='markers',
-            marker=dict(
-                size=20,
-                color=[surgery["Cost"]],
-                colorscale='Viridis',
-                showscale=True
-            ),
-            text=surgery["CPTDescription"],
-            hovertemplate='<b>%{text}</b><br><i>CPT Code</i>: %{x}<br><i>Cost</i>: %{y}'))
-
-    fig.update_layout(title='Heatmap Circle Plot of Surgery Types',
-                      xaxis_title='CPT Codes',
-                      yaxis_title='Cost (in billions)')
+import plotly.graph_objects as go
 
+def create_sunburst_plot(labels, parents, values, ids, text):
+    fig = go.Figure(go.Sunburst(
+        labels=labels,
+        parents=parents,
+        values=values,
+        ids=ids,
+        text=text,
+        hoverinfo="label+value",
+        branchvalues="total",
+    ))
+
+    fig.update_layout(margin=dict(t=0, l=0, r=0, b=0))
     return fig
 
-# Streamlit app
-st.title("Top Prior Auth Conditions")
-st.header("MSK Hip and Knee Surgery")
-st.write(surgery_data)
+# Replace these lists with your own data
+labels = ["Root", "Hip Surgery", "Knee Surgery", "CPT1", "CPT2", "CPT3", "CPT4"]
+parents = ["", "Root", "Root", "Hip Surgery", "Hip Surgery", "Knee Surgery", "Knee Surgery"]
+values = [None, 30, 40, 20, 10, 25, 15]
+ids = ["Root", "Hip Surgery", "Knee Surgery", "CPT1", "CPT2", "CPT3", "CPT4"]
+text = ["Root", "Hip Surgery", "Knee Surgery", "CPT1", "CPT2", "CPT3", "CPT4"]
 
-st.header("Heatmap Circle Plot")
-fig = create_heatmap_circle_plot(surgery_data)
-st.plotly_chart(fig)
+fig = create_sunburst_plot(labels, parents, values, ids, text)
+fig.show()