Update pages/7_Advance_vectorization_techniques.py

pages/7_Advance_vectorization_techniques.py

@@ -56,7 +56,7 @@ st.markdown("""
     .icon-bullet li::before {
         content: "◆";
         padding-right: 10px;
-        color: black;
+        color: red;
     }
     /* Sidebar styling */
     .sidebar .sidebar-content {
@@ -299,7 +299,7 @@ if file_type == "Word2Vec":
     """
     <div class='box'>
         <h3 style='color: black;'>What is CBOW?</h3>
-        <p><strong>CBOW (Continuous Bag of Words)</strong> is a technique where we use surrounding words (context) to predict the target word (focus word).</p>
+        <h3><strong>CBOW (Continuous Bag of Words)</strong> is a technique where we use surrounding words (context) to predict the target word (focus word).</h3>
     </div>
     """,
     unsafe_allow_html=True,
@@ -359,7 +359,7 @@ if file_type == "Word2Vec":
 
     st.markdown(
     """
-        <h3 style='color: black;'> Training with Artificial Neural Networks</h3>
+        <h3 style='color: white;'> Training with Artificial Neural Networks</h3>
         <p>The tabular data is passed to an <strong>Artificial Neural Network (ANN)</strong> which learns:</p>
         <ul>
             <li>How <span class='highlight'>context words</span> are related to <span class='highlight'>focus words</span>.</li>
@@ -373,7 +373,7 @@ if file_type == "Word2Vec":
     """
     <div class='box'>
         <h3 style='color: #6A0572;'>What is Skipgram?</h3>
-        <p><strong>Skipgram</strong> is a technique where we use focus words to predict the context words.</p>
+        <h3><strong>Skipgram</strong> is a technique where we use focus words to predict the context words.</h3>
     </div>
     """,
     unsafe_allow_html=True,