Update app.py

app.py

@@ -1,76 +1,48 @@
 import streamlit as st
-import pandas as pd
 import json
-import re
+import pandas as pd
 from io import BytesIO
 
-st.set_page_config(page_title="JSON to Excel Converter", layout="wide")
+st.set_page_config(layout="wide")
 
 st.title("JSON to Excel Converter")
 
-# Text Area
-json_text = st.text_area(
-    label="JSON Data",
-    height=300,
-    placeholder="Paste your JSON data here..."
-)
-
-def clean_json(text):
-    """Remove trailing commas to avoid JSON errors"""
-    text = re.sub(r",\s*}", "}", text)
-    text = re.sub(r",\s*]", "]", text)
-    return text
+json_text = st.text_area("JSON Data", height=300)
 
-def flatten_json(data):
+def process_json(data):
     rows = []
 
-    def recurse(obj):
-        if isinstance(obj, dict):
-            for k, v in obj.items():
-                rows.append({
-                    "Object Name / Key Name": k,
-                    "English_Values": None if isinstance(v, dict) else v
-                })
-                recurse(v)
+    def traverse(obj):
+        for k, v in obj.items():
+            if isinstance(v, dict):
+                rows.append([k, None])
+                traverse(v)
+            else:
+                rows.append([k, v])
 
-    recurse(data)
-    return rows
+    traverse(data)
+    return pd.DataFrame(rows, columns=["Object Name/Key Name", "English_Values"])
 
-# Button
 if st.button("Generate Excel Data"):
-    if not json_text.strip():
-        st.warning("Please paste JSON data first.")
-    else:
-        try:
-            cleaned_json = clean_json(json_text)
-            parsed_json = json.loads(cleaned_json)
-
-            flattened_rows = flatten_json(parsed_json)
-            df = pd.DataFrame(flattened_rows)
-
-            # Replace None with NULL
-            df["English_Values"] = df["English_Values"].fillna("NULL")
+    try:
+        cleaned = json_text.replace(",}", "}").replace(",]", "]")
+        parsed = json.loads(cleaned)
 
-            st.subheader("Excel Output (Copy & Paste Ready)")
-            st.dataframe(
-                df,
-                use_container_width=True,
-                hide_index=True
-            )
+        df = process_json(parsed)
 
-            # -------- Excel Export --------
-            output = BytesIO()
-            with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
-                df.to_excel(writer, index=False, sheet_name="JSON_Data")
+        st.subheader("Excel Preview")
+        st.dataframe(df, use_container_width=True)
 
-            excel_data = output.getvalue()
+        output = BytesIO()
+        with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
+            df.to_excel(writer, index=False, sheet_name="Labels")
 
-            st.download_button(
-                label="📥 Download Excel File",
-                data=excel_data,
-                file_name="JSON_To_Excel.xlsx",
-                mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
-            )
+        st.download_button(
+            "Download Excel File",
+            data=output.getvalue(),
+            file_name="JSON_To_Excel.xlsx",
+            mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
+        )
 
-        except Exception as e:
-            st.error(f"Invalid JSON format ❌\n\n{e}")
+    except Exception as e:
+        st.error(f"Invalid JSON: {e}")