Update pages/7_Advance_vectorization_techniques.py

pages/7_Advance_vectorization_techniques.py

@@ -509,16 +509,29 @@ elif file_type == "Fasttext":
     """,
     unsafe_allow_html=True,
     )
+    st.markdown(
+    """
+    ## Example Sentences:
+    - **d1:** "apple is good for health"
+    - **d2:** "biryani is not good for health"
+    
+    This application creates a table for **context words** and **focus words** using **character 2-grams**.
+    """
+    )
+
+    st.subheader("Character 2-Gram Table")
+
+    data = {
+        "Context Words": ["ap", "pp", "pl", "le", "is"],
+        "Focus Words": ["go", "oo", "od"]
+    }
+
+    st.markdown(
+    """
+    - This representation provides an **average 2D vector** for words.
+    """
+    )
 
-    st.markodown('''
-    - Example : d1 = apple is good for health
-    - d2 = biryani is not good for health
-    - Creates a table for context words, focus words 
-    - <ap , pp, pl, le> < is> - context words
-    - <go , oo, od> - focus words 
-    - character 2- gram 
-    - It gives average 2-d vector representation of word 
-    ''')
     st.markdown(
     """
         <h3 style='color: #6A0572;'>Vocabulary</h3>