Update src/streamlit_app.py

src/streamlit_app.py

@@ -2,13 +2,13 @@ import requests
 import pandas as pd
 import streamlit as st
 
-# ←––– Point this at your deployed Flask API
+# 🚀 Your deployed Flask backend URL
 BACKEND_URL = "https://Pushpak21-Pharmacy.hf.space/predict"
 
 st.title("🎯 Pharmacy College Predictor")
 st.write("Enter your details below:")
 
-# Input controls
+# 📋 Input controls
 category = st.selectbox("Category", [
     'GOPEN', 'GSC', 'GNTB', 'GOBC', 'GSEBC', 'LOPEN', 'LST', 'LOBC',
     'EWS', 'GST', 'GNTC', 'LSC', 'LNTB', 'LNTD', 'LNTC', 'LSEBC',
@@ -24,7 +24,7 @@ if st.button("Predict Top 20 Choices"):
         "Percentage": percentage
     }
 
-    # Call your backend API
+    # 🔷 Call your backend API
     resp = requests.post(BACKEND_URL, json=payload)
     if resp.status_code != 200:
         st.error(f"Backend error: {resp.status_code}")
@@ -36,17 +36,18 @@ if st.button("Predict Top 20 Choices"):
         else:
             df = pd.DataFrame(data)
 
-            # Rename columns for clarity
+            # Reorder & rename columns
+            df = df[["rank", "choice_code", "college_name", "probability_percent"]]
             df.rename(columns={
-                "Rank": "Prediction Rank",
+                "rank": "Rank",
                 "choice_code": "Choice Code",
-                "college_name": "College Name"
+                "college_name": "College Name",
+                "probability_percent": "Probability (%)"
             }, inplace=True)
 
-            # Display table without index and full width
+            # 🎯 Display table without index and full width
             st.write("### 🎯 Top‑20 Predicted Choices")
             st.dataframe(
                 df.style.hide(axis="index"),
                 use_container_width=True
             )
-