diff --git a/test_apps/test_app5.py b/test_apps/test_app5.py
new file mode 100644
index 0000000..1e29d2b
--- /dev/null
+++ b/test_apps/test_app5.py
@@ -0,0 +1,62 @@
+import pandas as pd
+from flask import Flask, request, render_template_string, send_from_directory
+import os
+
+app = Flask(__name__)
+
+# Directory to store converted CSV files
+UPLOAD_FOLDER = 'converted_files'
+os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+
+@app.route('/')
+def index():
+ return '''
+
Upload Excel File
+
+ '''
+
+@app.route('/upload', methods=['POST'])
+def upload_file():
+ if 'file' not in request.files:
+ return "No file provided.", 400
+
+ file = request.files['file']
+ filename = file.filename
+
+ if not filename.endswith(('.xls', '.xlsx')):
+ return "Unsupported file type. Please upload an Excel file.", 400
+
+ try:
+ # Read all sheets from the Excel file
+ file.seek(0) # Reset file pointer
+ sheet_data = pd.read_excel(file, sheet_name=None, dtype=str)
+
+ # Convert each sheet to a separate CSV file
+ csv_files = []
+ for sheet_name, df in sheet_data.items():
+ csv_filename = os.path.join(UPLOAD_FOLDER, f"{sheet_name}.csv")
+ df.to_csv(csv_filename, index=False)
+ csv_files.append(csv_filename)
+
+ # Generate a response with download links for all CSV files
+ result_html = "Converted Sheets
"
+
+ return render_template_string(result_html)
+
+ except Exception as e:
+ return f"Error processing file: {e}", 500
+
+@app.route('/download/')
+def download_file(filename):
+ # Serve the CSV file for download
+ return send_from_directory(UPLOAD_FOLDER, filename, as_attachment=True)
+
+if __name__ == '__main__':
+ app.run(debug=True, port=5000, host='0.0.0.0')