Delete app.py

app.py

@@ -1,83 +0,0 @@
-'''
-Author       : Rupesh Garsondiya
-github       : @Rupeshgarsondiya
-Organization : L.J University
-'''
-
-
-
-
-import http
-import streamlit as st
-from PIL import Image
-from train import *
-from 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