Update app.py

app.py

@@ -148,34 +148,36 @@ else:
 st.subheader("📥 Input Data")
 st.dataframe(df_raw, use_container_width=True)
 
+df = df_raw.copy()
+df["ReadinessScore"] = df.apply(score, axis=1)
+df["SuggestedNextRole"] = df.apply(suggest_next_role, axis=1)
+df["RecommendedActions"] = df.apply(suggest_actions, axis=1)
+
 # --------------------------
 # Employee-wise LLM Generation
 # --------------------------
 
+# --------------------------
+# Employee-wise LLM Generation (Correct Location)
+# --------------------------
+
 st.subheader("🎯 Generate AI Output for an Employee")
 
-# Dropdown list of employees
 selected_employee = st.selectbox(
     "Select an employee for AI recommendations:",
     df["Name"].unique()
 )
 
-# Extract selected row
 emp = df[df["Name"] == selected_employee].iloc[0]
 
 st.markdown(f"### {emp['Name']} — {emp['CurrentRole']}")
 
-# Button to generate LLM outputs for this one employee
 if st.button("Generate AI Plan for Selected Employee"):
     with st.spinner("Generating next role & 30-60-90 plan..."):
 
-        # Generate Next Role
         next_role = generate_next_role(emp["CurrentRole"])
-
-        # Generate 30-60-90 plan
         plan = generate_llm_plan(emp["CurrentRole"], next_role)
 
-    # Display Results
     st.markdown("### 🔼 Predicted Next-Level Role")
     st.success(next_role)