Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import pyodbc
+import tempfile
+import os
+
+# Streamlit page setup
+st.set_page_config(page_title="Excel to SQL Processor", layout="centered")
+
+# Title
+st.title("Excel Processor for SQL Database")
+
+# Username and Password Input
+st.subheader("Database Credentials")
+username = st.text_input("Database Username", value="", placeholder="Enter your username")
+password = st.text_input("Database Password", value="", type="password", placeholder="Enter your password")
+
+# File Upload
+st.subheader("Upload Excel File")
+uploaded_file = st.file_uploader("Choose an Excel file", type=["xlsx"])
+
+# Dummy function to simulate processing
+def process_file(username, password, file):
+    if not username or not password:
+        return "⚠️ Error: Username and password are required!"
+    
+    if file is None:
+        return "⚠️ Error: Please upload an Excel file."
+    
+    try:
+        # Save the uploaded file temporarily
+        temp_dir = tempfile.mkdtemp()
+        file_path = os.path.join(temp_dir, file.name)
+        with open(file_path, "wb") as f:
+            f.write(file.getvalue())
+
+        # Load the Excel file (dummy processing)
+        df = pd.read_excel(file_path)
+        result_message = f"✅ File '{file.name}' successfully uploaded and read. {len(df)} rows found."
+
+        return result_message
+
+    except Exception as e:
+        return f"❌ Error processing file: {str(e)}"
+
+# Run Processing Button
+if st.button("Process File"):
+    result = process_file(username, password, uploaded_file)
+    st.write(result)