Update app.py

app.py

@@ -0,0 +1,83 @@
+'''
+Author       : Rupesh Garsondiya
+github       : @Rupeshgarsondiya
+Organization : L.J University
+'''
+
+
+
+
+
+import http
+import streamlit as st
+from PIL import Image
+from src.train import *
+from src.test import *
+
+
+# Centering the title using HTML and CSS
+
+   
+class Main:
+    def __init__(self) -> None:
+        pass
+
+    def run(self):
+        
+        # Display the image from a URL
+        st.markdown(
+            """
+            <style>
+            .img-rounded {
+                border-radius: 15px;
+                width: 400px;  /* Adjust the width as needed */
+            }
+            
+            </style>
+            <div style="text-align: center;">
+            <img src="https://files.oaiusercontent.com/file-j5d0noa13fNCzctwMzacm7k9?se=2024-10-15T17%3A31%3A03Z&sp=r&sv=2024-08-04&sr=b&rscc=max-age%3D604800%2C%20immutable%2C%20private&rscd=attachment%3B%20filename%3D393b3cd9-2488-4f60-a1d7-52fe26428c8f.webp&sig=JSGn0KwxflHJ9MPWGzjpDn%2BzUTJxnMrSN2%2BrrTMhoLg%3D" class="img-rounded",><br>
+        
+            """,
+            unsafe_allow_html=True
+        )
+        st.write()
+        st.write()
+        
+
+        t = test()
+        t.predict_data()
+
+       
+        st.markdown("[GitHub](https://github.com/Rupeshgarsondiya/Project-1) | <a href='https://www.linkedin.com/in/rupesh-garsondiya-919817275/' target='_blank'>Linkedin</a>",unsafe_allow_html=True)
+        
+
+        # Add a LinkedIn profile hyperlink using HTML
+        st.markdown("", unsafe_allow_html=True)
+
+
+
+        
+        # Add copyright notice at the bottom
+        st.markdown("<hr>", unsafe_allow_html=True)  # Horizontal line to separate content
+        st.markdown(
+            "<b><p style='text-align: center; font-size: 12px;'>&copy; 2024 Rupesh Garsondiya. All Rights Reserved.</p>", 
+            unsafe_allow_html=True
+        )
+
+        
+if  __name__ == "__main__":
+
+    
+    
+    st.markdown("<h1 style='text-align: center;'><b>User behaviour classification on user Behaviour Dataset</b></h1>", unsafe_allow_html=True)
+
+    st.markdown("<p ><b> - About this project  :</b></p>",unsafe_allow_html=True)
+    st.write(' - This project is a simple web application that uses a machine learning model to classify user behavior into different categories.')
+
+    st.write(' - The model is trained on a dataset of user behavior and can be used to  predict the behavior of a new user based on their mobile data.')
+
+    run_obj = Main()
+    run_obj.run()
+
+else  : 
+    print("This is a Streamlit app. Please run it using `streamlit run app.py `")  # noqa: E501