Create app.py

app.py

@@ -0,0 +1,32 @@
+import streamlit as st
+from streamlit_option_menu import option_menu
+import classifier
+import home
+import contact
+
+
+st.write('Vehicle number plate recognition')
+st.write('##### This page created by Himanshu Aggarwal')
+st.markdown('---')
+
+
+selected = option_menu(None, ["Home", "Number Plate Recognition","Contact"], 
+    icons=['house', 'cloud-upload', 'envelope-at-fill'], 
+    menu_icon="cast", default_index=0, orientation="horizontal",
+    styles={
+        "container": {"padding": "0!important", "background-color": "#fafafa"},
+        "icon": {"color": "orange", "font-size": "20px"}, 
+        "nav-link": {"font-size": "20px", "text-align": "left", "margin":"1px", "--hover-color": "#eee"},
+        "nav-link-selected": {"background-color": "green"},
+    }
+)
+    
+selected
+
+if selected == 'Number Plate Recognition':
+    classifier.run()
+
+elif selected == 'Home':
+    home.run()
+else:
+    contact.run()