Update pages/Data_Collection.py

pages/Data_Collection.py

@@ -67,18 +67,18 @@ st.markdown(
 # Add buttons for each data type
 if st.button("Learn More About Structured Data"):
     st.markdown(
-        "<p style='font-size: 16px; color: White;'>Structured data is stored in a well-defined schema, such as tables or databases. Common examples include Excel files, CSV files, and SQL databases.</p>", 
+        "<p style='font-size: 16px; color: Black;'>Structured data is stored in a well-defined schema, such as tables or databases. Common examples include Excel files, CSV files, and SQL databases.</p>", 
         unsafe_allow_html=True
     )
 
 if st.button("Learn More About Unstructured Data"):
     st.markdown(
-        "<p style='font-size: 16px; color: White;'>Unstructured data includes multimedia files, text documents, and other formats that lack a predefined schema. Examples are images, videos, and free-text files.</p>", 
+        "<p style='font-size: 16px; color: Black;'>Unstructured data includes multimedia files, text documents, and other formats that lack a predefined schema. Examples are images, videos, and free-text files.</p>", 
         unsafe_allow_html=True
     )
 
 if st.button("Learn More About Semi-Structured Data"):
     st.markdown(
-        "<p style='font-size: 16px; color: White;'>Semi-structured data lies between structured and unstructured data. Formats like JSON, XML, and YAML are common examples of semi-structured data.</p>", 
+        "<p style='font-size: 16px; color: Black;'>Semi-structured data lies between structured and unstructured data. Formats like JSON, XML, and YAML are common examples of semi-structured data.</p>", 
         unsafe_allow_html=True
     )