Update UI

app.py

@@ -3,6 +3,7 @@ import streamlit as st
 import json
 import requests
 from bs4 import BeautifulSoup
+from datetime import date
 
 # load all the models and vectorizer (global vocabulary)
 # Seq_model = load_model("LSTM.h5") # Sequential
@@ -73,7 +74,7 @@ def crawURL(url):
         print(f"Failed to crawl page: {url}, Error: {str(e)}")
         return null
 
-# Predict for text category using Models
+# Predict for text category by Models
 def process_api(text):
     # Vectorize the text data
     processed_text = vectorizer.transform([text])
@@ -98,7 +99,7 @@ def process_api(text):
             'Article_Content': text
         }
 
-# Using Model to handle and return Category Route
+# Init web crawling, process article content by Model and return result as JSON
 def categorize(url):
     try:
         article_content = crawURL(url)
@@ -112,7 +113,7 @@ def categorize(url):
 
         
 # Main App
-st.title('Classification Project')
+st.title('CatSnap: Instant Category Classification')
 st.write("Unsure what category a CNN article belongs to? Our clever tool can help! Paste the URL below and press Enter. We'll sort it into one of our 5 categories in a flash! ⚡️")
 
 # Define category information (modify content and bullet points as needed)
@@ -186,6 +187,10 @@ with st.expander("Tips", expanded=True):
         '''
     )
 
+st.divider() # 👈 Draws a horizontal rule
+
+st.title('Dive in! See what category your CNN story belongs to 😉.')
+# Paste URL Input
 url = st.text_input("Find your favorite CNN story! Paste the URL here.", placeholder='Ex: https://edition.cnn.com/2012/01/31/health/frank-njenga-mental-health/index.html')
 
 if url:
@@ -200,6 +205,7 @@ if url:
         "Logistic": result.get("Logistic_Predicted"),
         "SVC": result.get("SVM_Predicted")
     })
+    
 st.divider()  # 👈 Draws a horizontal rule
 
 # Category labels and corresponding counts
@@ -215,4 +221,18 @@ for category, count in zip(categories, counts):
   st.write(f"- {category}: {count}")
 
 # Create the bar chart
-st.bar_chart(data=dict(zip(categories, counts)))
+st.bar_chart(data=dict(zip(categories, counts)))
+
+st.divider()  # 👈 Draws a horizontal rule
+
+# ------------ Copyright Section ------------
+# Get the current year
+current_year = date.today().year
+# Format the copyright statement with dynamic year
+copyright_text = f"Copyright © {current_year}"
+st.title(copyright_text)
+author_names = ["Trịnh Cẩm Minh (Member)", "Lương Ngọc Phương (Member)", "Trần Thanh Phước (Mentor)"]
+st.write("Meet the minds behind the work!")
+for author in author_names:
+    if (author == "Trịnh Cẩm Minh (Member)") st.markdown("[Trịnh Cẩm Minh (Member)](#https://minhct.netlify.app/)")
+    else st.text(f"- {author}\n")  # Use f-string for bullet and newline