Update app.py

app.py

@@ -90,33 +90,28 @@ def main():
             st.write("### Dataset Preview:")
             st.dataframe(df.head())
 
-        st.markdown("### Input Your Details")
-        gender = st.selectbox("🔹 Gender", ["Male", "Female"])
-        age = st.slider("🔹 Age", 18, 35, step=1)
-        depression = st.slider("🔹 Depression Level (1-10)", 1, 10)
-        anxiety = st.slider("🔹 Anxiety Level (1-10)", 1, 10)
-        isolation = st.slider("🔹 Isolation Level (1-10)", 1, 10)
-        future_insecurity = st.slider("🔹 Future Insecurity Level (1-10)", 1, 10)
-        stress_relief_activities = st.slider("🔹 Stress Relief Activities Level (1-10)", 1, 10)
-
-        user_data = {
-            "gender": gender,
-            "age": age,
-            "depression": depression,
-            "anxiety": anxiety,
-            "isolation": isolation,
-            "future_insecurity": future_insecurity,
-            "stress_relief_activities": stress_relief_activities,
-        }
-
-        if st.button("Get Observed Advice"):
+            st.markdown("### Select a Row for Analysis")
+            selected_row = st.selectbox(
+                "Select a row (based on index) to analyze:",
+                options=df.index,
+                format_func=lambda x: f"Row {x} - Age: {df.loc[x, 'age']}, Gender: {df.loc[x, 'gender']}",
+            )
+
+            # Extract data for the selected row
+            row_data = df.loc[selected_row].to_dict()
+
+            # Show extracted details
+            st.write("### Selected User Details:")
+            st.json(row_data)
+
+            # Generate advice
             st.subheader("🔔 Health Advice Based on Observations")
-            advice = provide_observed_advice(user_data)
+            advice = provide_observed_advice(row_data)
             if advice:
                 for i, tip in enumerate(advice, 1):
                     st.write(f"📌 **{i}.** {tip}")
             else:
-                st.warning("No specific advice available based on your inputs.")
+                st.warning("No specific advice available based on this user's data.")
 
     # Health Articles
     elif option == "Health Articles":