Update app.py

app.py

@@ -22,10 +22,10 @@ def set_title(title, color="black"):
     st.markdown(f"<h1 style='text-align: center; color: {color};'>{title}</h1>", unsafe_allow_html=True)
 
 if st.session_state.selected_page == 'What is NLP? 🧠':
-    set_title('🌟 Natural Language Processing (NLP) 🌟', color="purple")
+    set_title('Natural Language Processing (NLP)', color="darkgreen")
     
 elif st.session_state.selected_page == 'NLP Lifecycle 🔄':
-    set_title('🔄 Natural Language Processing (NLP) Lifecycle 🔄', color="darkblue")
+    set_title('Natural Language Processing (NLP) Lifecycle', color="darkgreen")
 
 elif st.session_state.selected_page == 'NLP Techniques ⚙️':
     set_title('⚙️ Techniques in Natural Language Processing (NLP) ⚙️', color="darkgreen")
@@ -99,16 +99,16 @@ elif st.session_state.selected_page == "NLP Lifecycle 🔄":
             - Ensuring solutions are fast and efficient.
     
         #### Steps in the NLP Life Cycle:
-            1. **Problem Definition** 🔧
-            2. **Data Collection** 📊
-            3. **Simple EDA** 🔍
-            4. **Data Preprocessing** 🧹
-            5. **Feature Engineering** 📝
-            6. **Model Selection and Training** 🏋️‍♂️
-            7. **Model Evaluation** 🏅
-            8. **Model Tuning** ⚙️
-            9. **Deployment** 🚀
-            10. **Monitoring and Maintenance** 🛠️
+            1. 🔧Problem Definition 
+            2. 📊Data Collection
+            3. 🔍Simple EDA
+            4. 🧹Data Preprocessing
+            5. 📝Feature Engineering
+            6. 🏋️‍♂️Model Selection and Training
+            7. 🏅Model Evaluation
+            8. ⚙️Model Tuning
+            9. 🚀Deployment
+            10. 🛠️Monitoring and Maintenance** 
             """)
 
     elif lifecycle_option == "🎯 Problem Definition":