Update app.py

app.py

@@ -4,7 +4,7 @@ import pandas as pd
 from io import BytesIO
 
 # -------------------------------------------------
-# Page Config
+# Page Configuration
 # -------------------------------------------------
 st.set_page_config(
     page_title="JSON to Excel Converter",
@@ -13,17 +13,22 @@ st.set_page_config(
 
 st.title("📘 JSON to Excel Converter")
 
+st.markdown(
+    "Paste your JSON label data below. "
+    "The app will flatten keys and export them as an Excel file."
+)
+
 # -------------------------------------------------
-# Input Area
+# JSON Input
 # -------------------------------------------------
 json_input = st.text_area(
     "JSON Data",
     height=350,
-    placeholder="Paste your JSON data here..."
+    placeholder='Example:\n"LABELS": { "ICN": { "ICN_SHIFT": "Shift Management" } }'
 )
 
 # -------------------------------------------------
-# JSON Processing Logic
+# JSON Flattening Logic
 # -------------------------------------------------
 def flatten_json(data):
     rows = []
@@ -37,6 +42,7 @@ def flatten_json(data):
                 rows.append([key, value])
 
     walk(data)
+
     return pd.DataFrame(
         rows,
         columns=["Object Name/Key Name", "English_Values"]
@@ -47,23 +53,26 @@ def flatten_json(data):
 # -------------------------------------------------
 if st.button("Generate Excel Data", type="primary"):
     if not json_input.strip():
-        st.warning("Please paste JSON data.")
+        st.warning("⚠️ Please paste JSON data.")
     else:
         try:
+            raw = json_input.strip()
+
             # Fix trailing commas
-            cleaned_json = (
-                json_input
-                .replace(",}", "}")
-                .replace(",]", "]")
-            )
+            raw = raw.replace(",}", "}").replace(",]", "]")
+
+            # Auto-wrap if root object missing
+            if not raw.startswith("{"):
+                raw = "{" + raw + "}"
+
+            parsed_json = json.loads(raw)
 
-            parsed_json = json.loads(cleaned_json)
             df = flatten_json(parsed_json)
 
             st.subheader("📊 Excel Preview")
             st.dataframe(df, use_container_width=True)
 
-            # Create Excel file
+            # Generate Excel file
             excel_buffer = BytesIO()
             with pd.ExcelWriter(excel_buffer, engine="xlsxwriter") as writer:
                 df.to_excel(
@@ -80,4 +89,4 @@ if st.button("Generate Excel Data", type="primary"):
             )
 
         except Exception as e:
-            st.error(f"Invalid JSON format: {e}")
+            st.error(f"❌ Invalid JSON: {e}")