Update app.py

app.py

@@ -1,5 +1,4 @@
 import streamlit as st
-from gensim.models import Word2Vec
 
 # Apply custom styles using Streamlit's markdown
 st.markdown("""
@@ -19,8 +18,10 @@ st.markdown('<p class="section-title">What is NLP?</p>', unsafe_allow_html=True)
 st.markdown("""
 Natural Language Processing (NLP) is a subfield of artificial intelligence that enables computers to process, understand, and generate human language.
 """)
+
+# Section: Applications of NLP
+st.markdown('<p class="sub-title">Applications of NLP:</p>', unsafe_allow_html=True)
 st.markdown("""
-**Applications of NLP:**
 - ✅ Chatbots & Virtual Assistants (e.g., Siri, Alexa)  
 - ✅ Sentiment Analysis (e.g., Product reviews, Social Media monitoring)  
 - ✅ Machine Translation (e.g., Google Translate)  
@@ -130,7 +131,8 @@ elif selected_method == "Word Embeddings (Word2Vec)":
     - ❌ Computationally expensive  
     """)
 
-    # Sample texts
+    # Sample texts for Word2Vec model
+    from gensim.models import Word2Vec
     texts = [
         "Natural Language Processing is fascinating.",
         "Natural Language Processing involves understanding human language.",