Update app.py

app.py

@@ -1,43 +1,43 @@
-import streamlit as st
-
-st.set_page_config(page_title="YouTube Sentiment Analysis", page_icon="🎬")
-
-st.title("🎬 YouTube Comment Sentiment Analysis")
-
-st.markdown("""
-
-📌 **Project Introduction**
-
-**Welcome to the YouTube Comment Sentiment Classifier App!** ✨
-
-This project is an end-to-end machine learning pipeline that:
-
-🎯 Extracts real-world YouTube comments using the **YouTube Data API v3**
-
-🧹 Cleans and preprocesses the comment data
-
-🧠 Trains a **Logistic Regression** model using **TF-IDF Vectorization**
-
-🎯 Predicts Sentiment as **Positive, Negative, or Neutral**
-
-🚀 Built with **Python** and **Streamlit**
-
-
-
----
-
-👨‍💻 **Project by:**
-
-**Srikanth Gunti**
-
-A Postgraduate Data Science Student
-
-Nizam College, Osmania University
-
-
----
-
-""")
-
-if st.button("Next"):
+import streamlit as st
+
+st.set_page_config(page_title="YouTube Sentiment Analysis", page_icon="🎬")
+
+st.title("🎬 YouTube Comment Sentiment Analysis")
+
+st.markdown("""
+
+## 📌 **Project Introduction**
+
+**Welcome to the YouTube Comment Sentiment Classifier App!** ✨
+
+This project is an end-to-end machine learning pipeline that:
+
+🎯 Extracts real-world YouTube comments using the **YouTube Data API v3**
+
+🧹 Cleans and preprocesses the comment data
+
+🧠 Trains a **Logistic Regression** model using **TF-IDF Vectorization**
+
+🎯 Predicts Sentiment as **Positive, Negative, or Neutral**
+
+🚀 Built with **Python** and **Streamlit**
+
+
+
+---
+
+### 👨‍💻 **Project by:**
+
+**Srikanth Gunti**
+
+A Postgraduate Data Science Student
+
+Nizam College, Osmania University
+
+
+---
+
+""")
+
+if st.button("Next"):
     st.switch_page("pages/1_Data_Overview.py")