Update pages/Data Collection.py

pages/Data Collection.py

@@ -1242,7 +1242,7 @@ def video_details_page():
         if st.button("opencv_projects"):
             st.session_state['page'] = "OpenCV Projects"
 
-def opencv_projects():
+def opencv_projects_page():
     
         st.title("OpenCV Projects")
 
@@ -1352,10 +1352,30 @@ def main_page():
     data_type = st.radio("Select Data Type:", ["Structured", "Semi-Structured", "Unstructured"])
 
     if data_type == "Structured":
-        if st.button("Excel"):
-            st.session_state['page'] = "excel"
+        # Structured Data
+        st.subheader("1️⃣ Structured Data 🗂️")
+        st.write("""
+        This type of data is well-organized, like in a table with rows and columns. It's easy to store and analyze.
+        - **Examples:**
+          - Names, phone numbers, and addresses in a spreadsheet.
+          - Sales records in a database.
+            """)
+        st.write("**💡 Simple Story:** Think of a grocery store where every item has its price, category, and stock neatly listed on a computer.")
+    
+    if st.button("Excel"):
+        st.session_state['page'] = "excel"
 
     elif data_type == "Semi-Structured":
+         # Semi-Structured Data
+            st.subheader("2️⃣ Semi-Structured Data 📜")
+            st.write("""
+            This type of data is somewhat organized but not as strict as tables. It has a format but doesn’t fit perfectly into rows and columns.
+            - **Examples:**
+              - Emails (with subject, sender, and message).
+              - JSON or XML files used in apps and websites.
+            """)
+            st.write("**💡 Simple Story:** Imagine writing a letter that has a date, sender’s name, and the main message. It’s structured in parts but not as fixed as a table.")
+            
         st.write("Semi-Structured Data includes formats like CSV, JSON, XML, and HTML.")
 
         if st.button("CSV"):
@@ -1368,6 +1388,18 @@ def main_page():
             st.session_state['page'] = "html"
 
     elif data_type == "Unstructured":
+
+         # Unstructured Data
+            st.subheader("3️⃣ Unstructured Data 📷")
+            st.write("""
+            This is data without any specific organization. It’s harder to analyze directly.
+            - **Examples:**
+              - Photos and videos.
+              - Social media posts or text messages.
+            """)
+            st.write("**💡 Simple Story:** Think of a messy drawer with random papers, photos, and tools. It’s useful, but you need to sort it out to find what you need.")
+        
+
         st.write("Unstructured Data includes formats like Images and Videos.")
 
         if st.button("Image"):
@@ -1375,41 +1407,8 @@ def main_page():
         if st.button("Video"):
             st.session_state['page'] = "video"
 
-    # Structured Data
-    st.subheader("1️⃣ Structured Data 🗂️")
-    st.write("""
-    This type of data is well-organized, like in a table with rows and columns. It's easy to store and analyze.
-    - **Examples:**
-      - Names, phone numbers, and addresses in a spreadsheet.
-      - Sales records in a database.
-    """)
-    st.write("**💡 Simple Story:** Think of a grocery store where every item has its price, category, and stock neatly listed on a computer.")
     
-    # Semi-Structured Data
-    st.subheader("2️⃣ Semi-Structured Data 📜")
-    st.write("""
-    This type of data is somewhat organized but not as strict as tables. It has a format but doesn’t fit perfectly into rows and columns.
-    - **Examples:**
-      - Emails (with subject, sender, and message).
-      - JSON or XML files used in apps and websites.
-    """)
-    st.write("**💡 Simple Story:** Imagine writing a letter that has a date, sender’s name, and the main message. It’s structured in parts but not as fixed as a table.")
-    
-    # Unstructured Data
-    st.subheader("3️⃣ Unstructured Data 📷")
-    st.write("""
-    This is data without any specific organization. It’s harder to analyze directly.
-    - **Examples:**
-      - Photos and videos.
-      - Social media posts or text messages.
-    """)
-    st.write("**💡 Simple Story:** Think of a messy drawer with random papers, photos, and tools. It’s useful, but you need to sort it out to find what you need.")
-
-    # Conclusion
-    st.header("🔍 Conclusion")
-    st.write("Understanding the types of data helps us decide how to use it. Structured data is like a neat file cabinet, semi-structured is like a stack of papers with labels, and unstructured is like a box of random items.")
-
-
+   
 # Initialize session state
 if 'page' not in st.session_state:
     st.session_state['page'] = "home"
@@ -1431,3 +1430,6 @@ elif st.session_state['page'] == "image":
     image_details_page()
 elif st.session_state['page'] == "video":
     video_details_page()
+elif st.session_state['page'] == "OpenCV Projects":
+    opencv_projects_page()
+