Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import pandas as pd
 import re
 from io import BytesIO
+import streamlit.components.v1 as components
 
 # -------------------------------------------------
 # Page Setup
@@ -11,7 +12,8 @@ st.title("📘 JSON Text → Excel Converter")
 
 st.markdown(
     "Paste JSON-like **text data** (not strict JSON). "
-    "The app parses it line-by-line and generates Excel output."
+    "The app parses it line-by-line and generates Excel output. "
+    "You can also copy the two columns to clipboard."
 )
 
 # -------------------------------------------------
@@ -39,7 +41,6 @@ def parse_text_to_rows(text):
 
     for line in text.splitlines():
         line = line.strip()
-
         if not line:
             continue
 
@@ -60,7 +61,7 @@ def parse_text_to_rows(text):
 
     return pd.DataFrame(
         rows,
-        columns=["Object Name/Key Name", "English_Values"]
+        columns=["Object Name/Key Name", "Values"]
     )
 
 # -------------------------------------------------
@@ -80,7 +81,19 @@ if st.button("Generate Excel Data", type="primary"):
             st.subheader("📊 Excel Preview")
             st.dataframe(df, use_container_width=True)
 
+            # -------------------------
+            # Copy to Clipboard Button
+            # -------------------------
+            # Convert only the two columns to tab-separated text for Excel
+            csv_text = df.to_csv(index=False, sep="\t", header=True)
+            copy_button_html = f"""
+            <button onclick="navigator.clipboard.writeText(`{csv_text}`)">📋 Copy Two Columns</button>
+            """
+            components.html(copy_button_html, height=50)
+
+            # -------------------------
             # Excel Export
+            # -------------------------
             buffer = BytesIO()
             with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer:
                 df.to_excel(writer, index=False, sheet_name="Labels")