Update app.py

app.py

@@ -2,20 +2,20 @@ import streamlit as st
 import pandas as pd
 import re
 from io import BytesIO
+import streamlit.components.v1 as components
 
 # -------------------------------------------------
 # Page Setup
 # -------------------------------------------------
-st.set_page_config(page_title="JSON Text to Excel", layout="wide")
-st.title("📘 JSON Text → Excel Converter")
+st.set_page_config(page_title="JSON Text → Excel", layout="wide")
+st.title("📘 JSON Text → Excel Converter with Copy Feature")
 
 st.markdown(
-    "Paste JSON-like **text data** (not strict JSON). "
-    "The app parses it line-by-line and generates Excel output."
+    "Paste JSON-like **text data** below. You can preview Excel-style data and copy it to clipboard."
 )
 
 # -------------------------------------------------
-# Text Input (HF Safe)
+# Text Input
 # -------------------------------------------------
 if "json_text" not in st.session_state:
     st.session_state.json_text = ""
@@ -32,24 +32,21 @@ text_input = st.text_area(
 )
 
 # -------------------------------------------------
-# Line-by-line Parser (ROBUST)
+# Line-by-line Parser
 # -------------------------------------------------
 def parse_text_to_rows(text):
     rows = []
 
     for line in text.splitlines():
         line = line.strip()
-
         if not line:
             continue
-
-        # Remove trailing commas
-        line = line.rstrip(",")
+        line = line.rstrip(",")  # Remove trailing commas
 
         # Match "KEY": {
         obj_match = re.match(r'"([^"]+)"\s*:\s*\{', line)
         if obj_match:
-            rows.append([obj_match.group(1), None])
+            rows.append([obj_match.group(1), ""])
             continue
 
         # Match "KEY": "VALUE"
@@ -58,10 +55,7 @@ def parse_text_to_rows(text):
             rows.append([kv_match.group(1), kv_match.group(2)])
             continue
 
-    return pd.DataFrame(
-        rows,
-        columns=["Object Name/Key Name", "English_Values"]
-    )
+    return pd.DataFrame(rows, columns=["Key/Parent", "Value"])
 
 # -------------------------------------------------
 # Button Action
@@ -80,6 +74,13 @@ if st.button("Generate Excel Data", type="primary"):
             st.subheader("📊 Excel Preview")
             st.dataframe(df, use_container_width=True)
 
+            # Copy to Clipboard (only two columns)
+            csv_text = df.to_csv(index=False, sep="\t")  # tab-separated for Excel
+            copy_button_html = f"""
+            <button onclick="navigator.clipboard.writeText(`{csv_text}`)">📋 Copy Content</button>
+            """
+            components.html(copy_button_html, height=50)
+
             # Excel Export
             buffer = BytesIO()
             with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer: