Update pages/3_Life Cycle Of ML Project.py

pages/3_Life Cycle Of ML Project.py

@@ -75,51 +75,11 @@ elif st.session_state.page == "structured_data":
     if st.button(":blue[📊 Excel]"):
         st.session_state.page = "excel"
 
-    if st.button(":blue[📑 CSV]"):
-        st.session_state.page = "csv"
+    
 
     if st.button(":red[Back to Data Collection]"):
         st.session_state.page = "data_collection"
 
-# ----------------- CSV Data Page -----------------
-elif st.session_state.page == "csv":
-    st.title(":red[CSV Data Format]")
-    st.markdown("""
-    CSV (Comma-Separated Values) is a simple format used to store tabular data. Each line in the file represents a row, and commas separate the values within the row.
-    """)
-    st.markdown("### How to Read a CSV file")
-    st.code("""
-import pandas as pd
-# Read a CSV file
-df = pd.read_csv('data.csv')
-print(df)
-    """, language='python')
-
-    st.markdown("### Issues Encountered")
-    st.write("""
-    - *File not found*: Incorrect file path.
-    - *Wrong delimiter*: The CSV uses a different delimiter (e.g., semicolon).
-    - *Missing Libraries*: pandas might be missing.
-    """)
-
-    st.write("### Solutions")
-    st.code("""
-# Install required libraries
-# pip install pandas
-# Handle file not found
-try:
-    df = pd.read_csv('data.csv')
-except FileNotFoundError:
-    print("File not found. Check the file path.")
-# Handle incorrect delimiter
-df = pd.read_csv('data.csv', delimiter=';')
-    """, language='python')
-
-    st.link_button(":blue[Jupyter Notebook(colab)]","https://colab.research.google.com/drive/1sT35x4JH9s_hb31aMoUwtry-w8FE7fQg?usp=sharing")
-
-
-    if st.button(":red[Back to Structured Data]"):
-        st.session_state.page = "structured_data"
 
 # ----------------- Excel Data Page -----------------
 elif st.session_state.page == "excel":
@@ -242,10 +202,54 @@ elif st.session_state.page == "semi_structured_data":
 
     if st.button(":blue[HTML Data]"):
         st.session_state.page = "html"
+        
+    if st.button(":blue[📑 CSV]"):
+        st.session_state.page = "csv"
 
     if st.button(":red[Back to Data Collection]"):
         st.session_state.page = "data_collection"
 
+# ----------------- CSV Data Page -----------------
+elif st.session_state.page == "csv":
+    st.title(":red[CSV Data Format]")
+    st.markdown("""
+    CSV (Comma-Separated Values) is a simple format used to store tabular data. Each line in the file represents a row, and commas separate the values within the row.
+    """)
+    st.markdown("### How to Read a CSV file")
+    st.code("""
+import pandas as pd
+# Read a CSV file
+df = pd.read_csv('data.csv')
+print(df)
+    """, language='python')
+
+    st.markdown("### Issues Encountered")
+    st.write("""
+    - *File not found*: Incorrect file path.
+    - *Wrong delimiter*: The CSV uses a different delimiter (e.g., semicolon).
+    - *Missing Libraries*: pandas might be missing.
+    """)
+
+    st.write("### Solutions")
+    st.code("""
+# Install required libraries
+# pip install pandas
+# Handle file not found
+try:
+    df = pd.read_csv('data.csv')
+except FileNotFoundError:
+    print("File not found. Check the file path.")
+# Handle incorrect delimiter
+df = pd.read_csv('data.csv', delimiter=';')
+    """, language='python')
+    st.link_button(":blue[Jupyter Notebook(colab)]","https://colab.research.google.com/drive/1sT35x4JH9s_hb31aMoUwtry-w8FE7fQg?usp=sharing")
+
+
+    if st.button(":red[Back to Structured Data]"):
+        st.session_state.page = "structured_data"
+
+
+    
 # ----------------- XML Data Page -----------------
 elif st.session_state.page == "xml":
     st.title(":blue[XML Data Format]")