Karan1908/Weather-Type-Classification

1'''2Author       : Karan Chauhan3github       : @Karan-Chauhan194Organization : L.J University5'''6 7 8 9 10 11import http12import streamlit as st13from train import *14from test import *15 16 17# Centering the title using HTML and CSS18 19   20class Main:21    def __init__(self) -> None:22        pass23 24    def run(self):25        26        st.write()27        st.write()28        29 30        t = TestDataPreprocessing()31        t.testing()32 33       34        st.markdown("[GitHub](https://github.com/Karan-Chauhan19/Weather-Type-Classification.git) | <a href='https://www.linkedin.com/in/karan-chauhan-a511a4293' target='_blank'>Linkedin</a>",unsafe_allow_html=True)35        36 37        # Add a LinkedIn profile hyperlink using HTML38        st.markdown("", unsafe_allow_html=True)39 40 41 42        43        # Add copyright notice at the bottom44        st.markdown("<hr>", unsafe_allow_html=True)  # Horizontal line to separate content45        st.markdown(46            "<b><p style='text-align: center; font-size: 12px;'>&copy; 2024 Karan Chauhan. All Rights Reserved.</p>", 47            unsafe_allow_html=True48        )49 50        51if  __name__ == "__main__":52 53    54    55    st.markdown("<h1 style='text-align: center;'><b>Weather Type classification on Environmental Dataset</b></h1>", unsafe_allow_html=True)56 57    st.markdown("<p ><b> - About this project  :</b></p>",unsafe_allow_html=True)58    st.write(' - This project is a simple web application that uses a machine learning model to classify weather type using environmental data.')59 60    st.write(' - The model is trained on a dataset of environmental data and can be used to  predict the weather type based on environmental data.')61 62    run_obj = Main()63    run_obj.run()64 65else  : 66    print("This is a Streamlit app. Please run it using `streamlit run app.py `")  # noqa: E501