pages/01_BERT_Topic_Modeling.py

import streamlit as st

def bert_intro():
    st.title("Topic Modeling with BERT")
    st.markdown("BERT (BERTopic): Explanation of the advanced NLP technique used for analyzing the data, and its application in this project.")

    st.header("Process Flow: Step-by-step breakdown of the analysis process, from data gathering to insights extraction.")

def youth_classification():
    st.title("Youth Classification")

def sentiment_analysis():
    st.title("Sentiment Analysis")

def bert_topic_modeling():
    st.title("Topic Modeling")

sidebar_pages = ["Introduction", "Youth Classification", "Sentiment Analysis", "Topic Modeling"]
def main():
    st.sidebar.title("Navigation")
    page = st.sidebar.selectbox("Select page:", sidebar_pages)

    if page == "Introduction":
        bert_intro()
    elif page == "Youth Classification":
        youth_classification()
    elif page == "Sentiment Analysis":
        sentiment_analysis()
    elif page == "Topic Modeling":
        bert_topic_modeling()

if __name__ == "__main__":
    main()