Update app.py

app.py

@@ -9,17 +9,11 @@ st.title("SuperKart Sales Forecast")
 st.caption("Frontend powered by Streamlit → calls Flask backend for predictions")
 
 # -----------------------------
-# Backend URL Resolver
+# Backend URL (no st.secrets)
 # -----------------------------
 def resolve_backend_url() -> str:
-    # Prefer secret, then env, then hardcoded fallback
-    url = None
-    try:
-        url = st.secrets.get("BACKEND_URL")
-    except Exception:
-        pass
-    url = url or os.getenv("BACKEND_URL") or "https://rizwan9-backend.hf.space"
-    return url.strip()
+    # Use HF Space variable if set, else fallback to your backend
+    return (os.getenv("BACKEND_URL") or "https://rizwan9-backend.hf.space").strip()
 
 BACKEND_URL = resolve_backend_url()
 
@@ -56,15 +50,15 @@ if auto_check:
     run_health_check()
 
 if st.sidebar.button("🔍 Check Health Now"):
-    check_backend_health.clear()   # clear cache
+    check_backend_health.clear()
     run_health_check()
 
+# -----------------------------
+# Form
+# -----------------------------
 st.divider()
 st.subheader("Enter Product and Store Details")
 
-# -----------------------------
-# Main Form
-# -----------------------------
 with st.form("input_form"):
     col1, col2 = st.columns(2)
 
@@ -76,7 +70,7 @@ with st.form("input_form"):
 
     with col2:
         Product_Sugar_Content = st.selectbox("Product Sugar Content", ["Low Sugar", "Regular", "No Sugar"])
-        # Use dataset's exact labels (note lowercase 'and')
+        # note the lowercase "and" to match dataset
         Product_Type = st.selectbox("Product Type", [
             "Meat","Snack Foods","Hard Drinks","Dairy","Canned","Soft Drinks","Health and Hygiene",
             "Baking Goods","Bread","Breakfast","Frozen Foods","Fruits and Vegetables","Household",
@@ -107,9 +101,15 @@ if submitted:
     try:
         with st.spinner("Fetching prediction from backend..."):
             r = requests.post(f"{BACKEND_URL}/predict", json=payload, timeout=60)
-            r.raise_for_status()
-            data = r.json()
-            prediction = data["predictions"][0]
-        st.success(f"📈 Predicted Product Store Sales Total: **{prediction:,.2f}**")
+
+        if r.status_code != 200:
+            # show backend's detailed message to make debugging easy
+            try:
+                st.error(f"❌ Prediction failed ({r.status_code}):\n\n{r.json()}")
+            except Exception:
+                st.error(f"❌ Prediction failed ({r.status_code}):\n\n{r.text}")
+        else:
+            prediction = r.json()["predictions"][0]
+            st.success(f"📈 Predicted Product Store Sales Total: **{prediction:,.2f}**")
     except Exception as e:
         st.error(f"❌ Prediction failed:\n\n{e}")