Rupesh386 commited on
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Update app.py

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  1. app.py +83 -0
app.py CHANGED
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+ '''
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+ Author : Rupesh Garsondiya
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+ github : @Rupeshgarsondiya
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+ Organization : L.J University
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+ '''
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+
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+
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+
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+
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+
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+ import http
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+ import streamlit as st
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+ from PIL import Image
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+ from src.train import *
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+ from src.test import *
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+
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+
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+ # Centering the title using HTML and CSS
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+
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+
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+ class Main:
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+ def __init__(self) -> None:
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+ pass
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+
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+ def run(self):
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+
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+ # Display the image from a URL
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+ st.markdown(
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+ """
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+ <style>
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+ .img-rounded {
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+ border-radius: 15px;
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+ width: 400px; /* Adjust the width as needed */
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+ }
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+
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+ </style>
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+ <div style="text-align: center;">
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+ <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>
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+
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+ """,
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+ unsafe_allow_html=True
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+ )
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+ st.write()
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+ st.write()
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+
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+
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+ t = test()
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+ t.predict_data()
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+
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+
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+ 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)
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+
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+
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+ # Add a LinkedIn profile hyperlink using HTML
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+ st.markdown("", unsafe_allow_html=True)
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+
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+
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+
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+
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+ # Add copyright notice at the bottom
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+ st.markdown("<hr>", unsafe_allow_html=True) # Horizontal line to separate content
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+ st.markdown(
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+ "<b><p style='text-align: center; font-size: 12px;'>&copy; 2024 Rupesh Garsondiya. All Rights Reserved.</p>",
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+ unsafe_allow_html=True
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+ )
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+
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+
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+ if __name__ == "__main__":
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+
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+
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+
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+ st.markdown("<h1 style='text-align: center;'><b>User behaviour classification on user Behaviour Dataset</b></h1>", unsafe_allow_html=True)
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+
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+ st.markdown("<p ><b> - About this project :</b></p>",unsafe_allow_html=True)
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+ st.write(' - This project is a simple web application that uses a machine learning model to classify user behavior into different categories.')
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+
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+ 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.')
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+
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+ run_obj = Main()
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+ run_obj.run()
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+
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+ else :
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+ print("This is a Streamlit app. Please run it using `streamlit run app.py `") # noqa: E501