Update app/main.py

app/main.py

@@ -89,26 +89,6 @@ if 'current_week' not in st.session_state:
 if 'logged_in' not in st.session_state:
     st.session_state.logged_in = False
 
-# Get class content
-def get_class_content(week_number):
-    # Try different possible paths for class files
-    possible_paths = [
-        f"data_science_class_files/class_{week_number}",  # Local development
-        f"app/data_science_class_files/class_{week_number}",  # Alternative local path
-        f"class_{week_number}",  # Streamlit Cloud deployment
-    ]
-    
-    for class_dir in possible_paths:
-        if os.path.exists(class_dir):
-            # Get all files in the class directory
-            files = glob.glob(f"{class_dir}/*")
-            return {
-                'directory': class_dir,
-                'files': [os.path.basename(f) for f in files]
-            }
-    
-    return None
-
 # Sidebar navigation
 def sidebar_navigation():
     with st.sidebar:
@@ -134,7 +114,7 @@ def sidebar_navigation():
         for week in range(1, 11):
             if st.button(f"Week {week}", key=f"week_{week}"):
                 st.session_state.current_week = week
-                st.rerun()
+                st.switch_page(f"app/pages/{week}_Week_{week}.py")
 
 # Main content
 def main():
@@ -147,74 +127,31 @@ def main():
     # User is logged in, show course content
     st.title("Data Science Research Paper Course")
     
-    # Welcome message for first-time visitors
-    if st.session_state.current_week == 1:
-        st.markdown("""
-        ## Welcome to the Data Science Research Paper Course! 📚
-        
-        This 10-week course will guide you through the process of creating a machine learning research paper.
-        Each week, you'll learn new concepts and complete tasks that build upon each other.
-        
-        ### Getting Started
-        1. Use the sidebar to navigate between weeks
-        2. Complete the weekly tasks and assignments
-        3. Track your progress using the progress bar
-        4. Submit your work for feedback
-        
-        ### Course Overview
-        - Week 1: Research Topic Selection and Literature Review
-        - Week 2: Data Collection and Preprocessing
-        - Week 3: Exploratory Data Analysis
-        - Week 4: Feature Engineering
-        - Week 5: Model Selection and Baseline
-        - Week 6: Model Training and Optimization
-        - Week 7: Model Evaluation
-        - Week 8: Results Analysis
-        - Week 9: Paper Writing
-        - Week 10: Final Review and Submission
-        """)
+    # Welcome message
+    st.markdown("""
+    ## Welcome to the Data Science Research Paper Course! 📚
     
-    # Display current week's content
-    st.markdown(f"## Week {st.session_state.current_week}")
+    This 10-week course will guide you through the process of creating a machine learning research paper.
+    Each week, you'll learn new concepts and complete tasks that build upon each other.
     
-    # Get class content
-    class_content = get_class_content(st.session_state.current_week)
+    ### Getting Started
+    1. Use the sidebar to navigate between weeks
+    2. Complete the weekly tasks and assignments
+    3. Track your progress using the progress bar
+    4. Submit your work for feedback
     
-    if class_content:
-        st.subheader("Class Materials")
-        
-        # Display files in the class directory
-        for file in class_content['files']:
-            file_path = os.path.join(class_content['directory'], file)
-            
-            # Handle different file types
-            if file.endswith('.py'):
-                try:
-                    with open(file_path, 'r') as f:
-                        st.code(f.read(), language='python')
-                except Exception as e:
-                    st.error(f"Error reading file {file}: {str(e)}")
-            elif file.endswith('.md'):
-                try:
-                    with open(file_path, 'r') as f:
-                        st.markdown(f.read())
-                except Exception as e:
-                    st.error(f"Error reading file {file}: {str(e)}")
-            elif file.endswith(('.pptx', '.pdf', '.doc', '.docx')):
-                try:
-                    with open(file_path, 'rb') as f:
-                        st.download_button(
-                            label=f"Download {file}",
-                            data=f.read(),
-                            file_name=file,
-                            mime='application/octet-stream'
-                        )
-                except Exception as e:
-                    st.error(f"Error reading file {file}: {str(e)}")
-            else:
-                st.write(f"- {file}")
-    else:
-        st.info("Content for this week is being prepared. Check back soon!")
+    ### Course Overview
+    - Week 1: Research Topic Selection and Literature Review
+    - Week 2: Data Collection and Preprocessing
+    - Week 3: Exploratory Data Analysis
+    - Week 4: Feature Engineering
+    - Week 5: Model Selection and Baseline
+    - Week 6: Model Training and Optimization
+    - Week 7: Model Evaluation
+    - Week 8: Results Analysis
+    - Week 9: Paper Writing
+    - Week 10: Final Review and Submission
+    """)
 
 if __name__ == "__main__":
     load_css()