updated

README.md

@@ -27,6 +27,24 @@ The primary goal of this project is to illustrate how an agent-driven workflow c
 - Create more personalized and context-aware AI interactions
 - Demonstrate practical implementation of agentic workflows in LLM systems
 
+## Sidebar Workflow
+
+```
+Enter OpenAI API Key
+      ↓
+Choose Focus Area
+      ↓
+Start Interview
+      ↓
+Answer Questions
+      ↓
+End Interview
+      ↓
+Generate Context
+      ↓
+Export Data (Copy/Download)
+```
+
 ## Screenshots
 
 ### Step 1: AI agent asks you questions according to your preferred area of focus

app.py

@@ -256,11 +256,11 @@ with tab2:
 with tab3:
     st.header("Feature Gallery")
     st.markdown("### Interactive Interview Process")
-    st.image("screenshots/1.png", use_column_width=True)
+    st.image("screenshots/1.png", use_container_width=True)
     st.markdown("### Context Focus Selection")
-    st.image("screenshots/2.png", use_column_width=True)
+    st.image("screenshots/2.png", use_container_width=True)
     st.markdown("### Generated Context Summary")
-    st.image("screenshots/3.png", use_column_width=True)
+    st.image("screenshots/3.png", use_container_width=True)
 
 with tab4:
     if st.session_state.interview_complete and st.session_state.context_data: