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Upload app.py

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+ import streamlit as st
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+ st.set_page_config(page_title="YouTube Sentiment Analysis", page_icon="🎬")
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+ st.title("🎬 YouTube Comment Sentiment Analysis")
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+ st.markdown("""
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+ πŸ“Œ **Project Introduction**
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+ **Welcome to the YouTube Comment Sentiment Classifier App!** ✨
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+ This project is an end-to-end machine learning pipeline that:
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+ 🎯 Extracts real-world YouTube comments using the **YouTube Data API v3**
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+ 🧹 Cleans and preprocesses the comment data
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+ 🧠 Trains a **Logistic Regression** model using **TF-IDF Vectorization**
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+ 🎯 Predicts Sentiment as **Positive, Negative, or Neutral**
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+ πŸš€ Built with **Python** and **Streamlit**
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+ ---
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+ πŸ‘¨β€πŸ’» **Project by:**
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+ **Srikanth Gunti**
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+ A Postgraduate Data Science Student
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+ Nizam College, Osmania University
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+ ---
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+ """)
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+ if st.button("Next"):
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+ st.switch_page("pages/1_Data_Overview.py")