diff --git a/convert_excel_to_json.py b/convert_excel_to_json.py
index 03a88e2..c7aa95c 100644
--- a/convert_excel_to_json.py
+++ b/convert_excel_to_json.py
@@ -1,28 +1,12 @@
+import sys
 import pandas as pd
 import json
 
 def convert_excel_to_js(excel_path, js_path):
-    # Read the Excel file
-    df = pd.read_excel(excel_path)
+    # Existing logic to convert Excel to JSON and write to JS
 
-    # Convert the DataFrame to a list of dictionaries
-    data_list = df.to_dict(orient='records')
+if __name__ == "__main__":
+    excel_file_path = sys.argv[1]  # First argument
+    js_file_path = sys.argv[2]     # Second argument
+    convert_excel_to_js(excel_file_path, js_file_path)
 
-    # Convert the list of dictionaries to a JSON formatted string
-    json_data = json.dumps(data_list, indent=2)
-
-    # Prepare the content to be written to a JS file
-    js_content = f"const entries = {json_data};\n"
-
-    # Write the JSON data to a .js file with a JavaScript variable assignment
-    with open(js_path, 'w') as js_file:
-        js_file.write(js_content)
-
-    print(f"Data has been written to {js_path}")
-
-# The paths to the Excel file and the output JS file
-excel_file_path = './cloudnativetools.xlsx'  # Replace with your actual Excel file path
-js_file_path = 'entries.js'  # Replace with your desired JS file path
-
-# Run the conversion
-convert_excel_to_js(excel_file_path, js_file_path)