Update pages/LIFE_CYCLE_OF_MACHINE_LEARNING.py

pages/LIFE_CYCLE_OF_MACHINE_LEARNING.py

@@ -149,6 +149,7 @@ def unstructured_data_page():
     if st.button("Introduction to Image"):
         st.session_state.page = "introduction_to_image"
 
+# ----------------- Introduction to Image -----------------
 def introduction_to_image_page():
     st.header("🖼️ What is Image")
     st.markdown("""
@@ -207,7 +208,7 @@ plt.axis('off')
 plt.show()
     """, language='python')
 
-    st.header("Color Spaces in Machine Learning")  # Fixed indentation
+    st.header("Color Spaces in Machine Learning")
     st.markdown("""
     A color space is a mathematical model for representing colors. In machine learning, different color spaces can be used for preprocessing and analyzing image data, depending on the task.
 
@@ -222,13 +223,14 @@ Common Color Spaces:
   - **Use Cases**: Color correction, image processing tasks requiring color consistency.
 """)
 
+    # Button to Navigate to Operations Using OpenCV
+    if st.button("Operations Using OpenCV"):
+        st.session_state.page = "operations_using_opencv"
+
     # Navigation Button
     if st.button("Back to Data Collection"):
         st.session_state.page = "data_collection"
 
-
-
-
 # ----------------- Semi-Structured Data Page -----------------
 def semi_structured_data_page():
     st.title(":orange[Semi-Structured Data]")
@@ -313,6 +315,7 @@ def main():
         json_page()
     elif page == "introduction_to_image":
         introduction_to_image_page()
-
+    elif page == "operations_using_opencv"
+         operations_using_opencv_page()
 if __name__ == "__main__":
     main()